National Library of Energy BETA

Sample records for gross household income

  1. Delivering Energy Efficiency to Middle Income Single Family Households

    E-Print Network [OSTI]

    Zimring, Mark

    2012-01-01

    income range, households can become passive very quickly. ”income range, households can become passive very quickly. ”

  2. Fact #565: April 6, 2009 Household Gasoline Expenditures by Income

    Broader source: Energy.gov [DOE]

    In the annual Consumer Expenditure Survey, household incomes are grouped into five equal parts called quintiles (each quintile is 20%). Households in the second and third quintiles consistently...

  3. Loan Programs for Low- and Moderate-Income Households | Department...

    Broader source: Energy.gov (indexed) [DOE]

    Multifamily and Low-Income Housing Peer Exchange Call Series: Loan Programs for Low- and Moderate-Income Households, March 13, 2014. Call Slides and Discussion Summary More...

  4. Table HC1-3a. Housing Unit Characteristics by Household Income...

    Gasoline and Diesel Fuel Update (EIA)

    3a. Housing Unit Characteristics by Household Income, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total 2001 Household Income Below Poverty Line...

  5. Delivering Energy Efficiency to Middle Income Single Family Households

    SciTech Connect (OSTI)

    none,

    2011-12-01

    Provides state and local policymakers with information on successful approaches to the design and implementation of residential efficiency programs for households ineligible for low-income programs.

  6. "Table HC7.5 Space Heating Usage Indicators by Household Income...

    U.S. Energy Information Administration (EIA) Indexed Site

    Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than...

  7. Impacts of Climate Conditions and Adaptations on Agricultural Output and Household Income in Inner Mongolia, China 

    E-Print Network [OSTI]

    Chen, Wenjuan

    2014-07-31

    indicated that land degradation hurt the poorest household groups most and that conservation programs benefited the same groups the most significantly with respect to household income. In addition, diversification of income sources contribute significantly...

  8. Effect of Income on Appliances in U.S. Households, The

    Reports and Publications (EIA)

    2004-01-01

    Entails how people live, the factors that cause the most differences in home lifestyle, including energy use in geographic location, socioeconomics and household income.

  9. Forum on Enhancing the Delivery of Energy Efficiency to Middle Income Households: Discussion Summary

    SciTech Connect (OSTI)

    none,

    2012-09-20

    Summarizes discussions and recommendations from a forum for practitioners and policymakers aiming to strengthen residential energy efficiency program design and delivery for middle income households.

  10. Determinants of SNAP Participation: Employing a Structural Vulnerability of Poverty Framework to Examine SNAP Participation Among Low-Income Heads of Households

    E-Print Network [OSTI]

    Rosen, Gina L

    2015-01-01

    Among  Low-­?Income   Heads  of  Households.  Association  Participation Among Low-Income Heads of Households By GinaRecession among elderly low-income heads of households. The

  11. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    3a. Household Characteristics by Household Income, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli-...

  12. The Impact of Carbon Control on Low-Income Household Electricity and Gasoline Expenditures

    SciTech Connect (OSTI)

    Eisenberg, Joel Fred [ORNL

    2008-06-01

    In July of 2007 The Department of Energy's (DOE's) Energy Information Administration (EIA) released its impact analysis of 'The Climate Stewardship And Innovation Act of 2007,' known as S.280. This legislation, cosponsored by Senators Joseph Lieberman and John McCain, was designed to significantly cut U.S. greenhouse gas emissions over time through a 'cap-and-trade' system, briefly described below, that would gradually but extensively reduce such emissions over many decades. S.280 is one of several proposals that have emerged in recent years to come to grips with the nation's role in causing human-induced global climate change. EIA produced an analysis of this proposal using the National Energy Modeling System (NEMS) to generate price projections for electricity and gasoline under the proposed cap-and-trade system. Oak Ridge National Laboratory integrated those price projections into a data base derived from the EIA Residential Energy Consumption Survey (RECS) for 2001 and the EIA public use files from the National Household Transportation Survey (NHTS) for 2001 to develop a preliminary assessment of impact of these types of policies on low-income consumers. ORNL will analyze the impacts of other specific proposals as EIA makes its projections for them available. The EIA price projections for electricity and gasoline under the S.280 climate change proposal, integrated with RECS and NHTS for 2001, help identify the potential effects on household electric bills and gasoline expenditures, which represent S.280's two largest direct impacts on low-income household budgets in the proposed legislation. The analysis may prove useful in understanding the needs and remedies for the distributive impacts of such policies and how these may vary based on patterns of location, housing and vehicle stock, and energy usage.

  13. appl_household2001.pdf

    U.S. Energy Information Administration (EIA) Indexed Site

    3a. Appliances by Household Income, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible...

  14. Weatherization assistance for low-income households: An evaluation of local program performance

    SciTech Connect (OSTI)

    Schweitzer, M.; Rayner, S.; Wolfe, A.K.; Mason, T.W.; Ragins, B.R.; Cartor, R.A.

    1987-08-01

    The US Department of Energy's Weatherization Assistance Program (WAP) funds local agencies to provide weatherization services to low-income households. This report describes the most salient features of this program, examines relationships between organization and program outcomes, and presents recommendations for the program's further development. Data were collected by written surveys administered to local weatherization agencies, a telephone survey of 38 states and eight DOE support offices, and site visits to selected local agencies. Locally controlled factors found to be significantly related to program performance include the amount of the weatherization director's time spent on program administration, the use of established client selection criteria, the frequency of evaluation of local goal attainment, and the type of weatherization crews used. Factors controlled at the state or federal levels that influence program performance include delays in state reimbursements of local agency expenditures and local flexibility in the choice of weatherization measures. Data-gathering difficulties experienced during this project indicate a need for possible improvements in goal-setting and record-keeping procedures.

  15. CommunityOrganizedHouseholdWaterIncreasesNot Only Rural incomes, but AlsoMen’sWork

    E-Print Network [OSTI]

    Corw, Ben; Swallow, Brent; Asamba, Isabella

    2012-01-01

    average incomes in this group of seven springs. Kipsotet, as1. Characteristics of the seven spring groups Spring Group

  16. Household income pooling and the demand for food: does family financial structure matter? 

    E-Print Network [OSTI]

    Perusquia Corres, Ernesto

    2009-06-02

    Research on food consumption and expenditures usually employs the use of unitary models that do not account for type of family financial structure. This research presents two collective models of household behavior, ...

  17. homeoffice_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    3a. Home Office Equipment by Household Income, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for...

  18. BENTON PUD LOW INCOME CONSERVATION PROGRAM

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    result in a preference being given to households with incomes below 125% of Federal Poverty Guidelines (FPG) Upper low income households with incomes between 125 and 200%...

  19. " Million U.S. Housing Units" ,,"2005 Household...

    U.S. Energy Information Administration (EIA) Indexed Site

    8 Water Heating Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"...

  20. Targeted Marketing and Program Design for Low- and Moderate-Income...

    Energy Savers [EERE]

    Targeted Marketing and Program Design for Low- and Moderate-Income Households Targeted Marketing and Program Design for Low- and Moderate-Income Households Better Buildings...

  1. Housing Diversity and Consolidation in Low-Income Colonias: Patterns of House Form and Household Arrangements in Colonias of the US-Mexico Border 

    E-Print Network [OSTI]

    Reimers-Arias, Carlos Alberto

    2010-10-12

    Colonias are low-income settlements on the US-Mexico border characterized by poor infrastructure, minimum services, and an active housing construction with a high self-help and self-management component. Housing in colonias ...

  2. "Table HC7.12 Home Electronics Usage Indicators by Household...

    U.S. Energy Information Administration (EIA) Indexed Site

    Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than...

  3. Activity-based Travel Demand Model with Time-use and Microsimulation incorporating Intra-household Interactions

    E-Print Network [OSTI]

    Kim, Hee-Kyung

    2008-01-01

    actions that maximize the joint family income by acting inincome under which individual finds consumption to maximizemaximize the individual utility function subject to the distribution of the household’s full income.

  4. A REVIEW OF ASSUMPTIONS AND ANALYSIS IN EPRI EA-3409, "HOUSEHOLD APPLIANCE CHOICE: REVISION OF REEPS BEHAVIORAL MODELS"

    E-Print Network [OSTI]

    Wood, D.J.

    2010-01-01

    to separate fuel price and capital cost effects from non-for any household's heat pump capital costs, and replace theto own fuel prices, own capital costs, and household income.

  5. Incomes of Migratory Agricultural Workers. 

    E-Print Network [OSTI]

    Sargent, Frederic O.; Metzler, William H.

    1960-01-01

    the fact that half of them, mainly women and childre-n, were out of the labor market complete- ly at the home base. During 1956, the average earnings per worker were $781, but male heads of households averaged earnings per family... varied closely with the size of the family work force and averaged $2,208. Less than one-fourth of this was earned at the home base; hence, migratory labor was a major source of their income. In the 446 households surveyed, there was a total of 1...

  6. registered domestic partner's gross income totaling $500 or more. Gross income is the total amount of income

    E-Print Network [OSTI]

    Ullrich, Paul

    · Rebates/discounts not made in the regular course of business to members of the public without regard

  7. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2a. Household Characteristics by Year of Construction, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to...

  8. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    9a. Household Characteristics by Northeast Census Region, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE Row...

  9. Total Natural Gas Gross Withdrawals (Summary)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases...

  10. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    Pages HC2-1a. Household Characteristics by Climate Zone, Million U.S. Households, 2001 2 HC2-2a. Household Characteristics by Year of Construction, Million U.S. Households,...

  11. PART II: HOUSEHOLD RESOURCES INFORMATION Please report below any amount received in 2014 by you and your parent(s). Report total amount received for the entire year.

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    saving account? ·Yes Amount $________ · No ·Yes Amount $________ · No 2015-2016 Verification:___________________________ If your total annual household income falls below the following 2014 Federal Poverty Guidelines, please

  12. PART II: HOUSEHOLD RESOURCES INFORMATION Please report below any amount received in 2014 by you and your spouse, if married. Report total amount received for the entire

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Amount $________ · No ...Pay into a health saving account? ·Yes Amount $________ · No ·Yes Amount:___________________________ If your total annual household income falls below the following 2014 Federal Poverty Guidelines , please

  13. Is Inequality Inevitable in Society? Income Distribution as a Consequence

    E-Print Network [OSTI]

    Sinha, Sitabhra

    inequality when he collected data on income distribution in several countries including England, Peru a power law relation, with the number of households having income greater than x, N(x) x- . He further observed were around 1.5, possibly the first report of universal- ity in a power law relation from

  14. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2a. Household Characteristics by West Census Region, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total...

  15. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    0a. Household Characteristics by Midwest Census Region, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors...

  16. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    8a. Household Characteristics by UrbanRural Location, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total UrbanRural Location 1 RSE Row Factors City...

  17. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    1a. Household Characteristics by South Census Region, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors...

  18. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    a. Household Characteristics by Climate Zone, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Climate Zone 1 RSE Row Factors Fewer than 2,000 CDD...

  19. Rebound Effect in Energy Efficient Appliance Adopting Households 

    E-Print Network [OSTI]

    Glenn, Jacob Matthew

    2014-12-10

    This paper uses data from smart meter technology to estimate the occurrence of energy rebound, a “substitution” and “income’ effect where the price-per-use of an appliance falls relative to its energy efficiency. This causes households to have more...

  20. MICROSIMULATION OF RESIDENTIAL LAND DEVELOPMENT AND HOUSEHOLD LOCATION CHOICES

    E-Print Network [OSTI]

    Kockelman, Kara M.

    maximization and bid-rent theory, this paper investigates single-family residential location choices of new distribution). On the demand side, individual households (characterized by size, income, and presence and land owners maximize profits and/or rents. The simulation analysis offers insights into key features

  1. Household energy use in non-OPEC developing countries

    SciTech Connect (OSTI)

    Fernandez, J.C.

    1980-05-01

    Energy use in the residential sector in India, Brazil, Mexico, the Republic of Korea, the Sudan, Pakistan, Malaysia, and Guatemala is presented. Whenever possible, information is included on the commercial fuels (oil, gas, coal, and electricity) and on what are termed noncommercial fuels (firewood, animal dung, and crop residues). Of special interest are the differences in the consumption patterns of urban and rural areas, and of households at different income levels. Where the data allow, the effect of household size on energy consumption is discussed. Section II is an overview of the data for all eight countries. Section III examines those areas (India, Brazil, Mexico City) for which data exist on the actual quantity of energy consumed by households. Korea, the Sudan, and Pakistan, which collect data on household expenditures on fuels, are discussed in Section IV. The patterns of ownership of energy-using durables in Malaysia and Guatemala are discussed in Section V. (MCW)

  2. Equitable economic energy efficiency : creating good jobs in low-income efficiency programming

    E-Print Network [OSTI]

    Sarin, Amit

    2009-01-01

    Energy efficiency is an important consideration in energy policy-making. So, a federal program aimed at funding "energy efficiency retrofits" for low-income households could be an important step in increasing the overall ...

  3. The forgotten class : reconceptualizing contemporary middle-income housing in New York City

    E-Print Network [OSTI]

    Milchman, Karina (Karina Faye)

    2013-01-01

    New York City's costly real estate poses housing affordability challenges for not only low- or even moderate-income households, but also for the so-called "middle class." Because New York is predominantly a renter's market, ...

  4. Delivering Energy Efficiency to Middle Income Single Family Households

    E-Print Network [OSTI]

    Zimring, Mark

    2014-01-01

    CO: National Renewable Energy Laboratory. Zimring, M. ,Billingsley, M. 2011. Delivering Energy Efficiency to Middleof the Census. [EIA] U.S. Energy Information Administration.

  5. Delivering Energy Efficiency to Middle Income Single Family Households

    E-Print Network [OSTI]

    Zimring, Mark

    2012-01-01

    Kerry O’Neill (Clean Energy Finance Center), Ken Robinette (else). Todd Conkey, Energy Finance Director at the Wisconsinhousehold willingness to finance energy improvements. In

  6. Delivering Energy Efficiency to Middle Income Single Family Households

    E-Print Network [OSTI]

    Zimring, Mark

    2012-01-01

    Vermont Energy Investment Corporation NYSERDA – New Yorkfor a case study on New York’s energy efficiency programNew York, the New York State Energy Research and Development

  7. Delivering Energy Efficiency to Middle Income Single Family Households

    E-Print Network [OSTI]

    Zimring, Mark

    2012-01-01

    Standard WES – Wyoming Energy Savers S&P – Standard & Poorsloan. The Wyoming Energy Savers (WES) loan program offers

  8. Delivering Energy Efficiency to Middle Income Single Family Households

    E-Print Network [OSTI]

    Zimring, Mark

    2012-01-01

    rentalhousing/Energy_Efficiency_Project/COB_rebates_8.2.11.PDS/rentalhousing/Energy_Efficiency_Project/SmartRegs_Final_s residential energy efficiency loan program November 2010-

  9. Delivering Energy Efficiency to Middle Income Single Family Households

    E-Print Network [OSTI]

    Zimring, Mark

    2012-01-01

    Program ……..…………………………. ………. XX Clean Energy Worksfor Future Research. Clean Energy Program Policy Brief. LINKGHHI), Kerry O’Neill (Clean Energy Finance Center), Ken

  10. Delivering Energy Efficiency to Middle Income Single Family Households

    E-Print Network [OSTI]

    Zimring, Mark

    2012-01-01

    smartregs City of Boulder Rebates Matrix web page: http://light bulbs (CFLs) or provide rebates for high- efficiencymeasures. Targeted rebates. It is clear that rebates help to

  11. Delivering Energy Efficiency to Middle Income Single Family Households

    E-Print Network [OSTI]

    Zimring, Mark

    2012-01-01

    unlocking this energy efficiency resource. A range of policyfor acquiring the energy efficiency resource (i.e. ,programwith viewing energy efficiency as a resource, screening

  12. Delivering Energy Efficiency to Middle Income Single Family Households

    E-Print Network [OSTI]

    Zimring, Mark

    2012-01-01

    water) Conservation Ordinance WIPP – DOE’s WeatherizationInnovation Pilot Program (WIPP), awarded $30 million to 16around the country. The WIPP initiatives seek to overcome a

  13. Delivering Energy Efficiency to Middle Income Single Family Households

    E-Print Network [OSTI]

    Zimring, Mark

    2012-01-01

    rentalhousing/Energy_Efficiency_Project/COB_rebates_8.2.11.PDS/rentalhousing/Energy_Efficiency_Project/SmartRegs_Final_policymakers and energy efficiency program administrators to

  14. Delivering Energy Efficiency to Middle Income Single Family Households

    E-Print Network [OSTI]

    Zimring, Mark

    2012-01-01

    about the program Table 3. Keystone HELP loan application,Environmental Defense Fund EE – Energy Efficiency KeystoneHELP – Keystone Home Energy Loan Program EER – (Australian)

  15. usage_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    Usage Indicators Tables (Million U.S. Households; 60 pages, 247 kb) Contents Pages HC6-1a. Usage Indicators by Climate Zone, Million U.S. Households, 2001 5 HC6-2a. Usage...

  16. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    Appliances Tables (Million U.S. Households; 60 pages, 240 kb) Contents Pages HC5-1a. Appliances by Climate Zone, Million U.S. Households, 2001 5 HC5-2a. Appliances by Year of...

  17. Policy Uncertainty and Household Savings

    E-Print Network [OSTI]

    Giavazzi, Francesco

    Using German microdata and a quasi-natural experiment, we provide evidence on how households respond to an increase in uncertainty. We find that household saving increases significantly following the increase in political ...

  18. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    kb) Contents Pages HC4-1a. Air Conditioning by Climate Zone, Million U.S. Households, 2001 2 HC4-2a. Air Conditioning by Year of Construction, Million U.S. Households, 2001 2...

  19. homeoffice_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    Home Office Equipment Tables (Million U.S. Households; 12 pages, 123 kb) Contents Pages HC7-1a. Home Office Equipment by Climate Zone, Million U.S. Households, 2001 1 HC7-2a. Home...

  20. Energy-efficient housing alternatives: a predictive model of factors affecting household perceptions

    SciTech Connect (OSTI)

    Schreckengost, R.L.

    1985-01-01

    The major purpose of this investigation was to assess the impact of household socio-economic factors, dwelling characteristics, energy conservation behavior, and energy attitudes on the perceptions of energy-efficient housing alternatives. Perceptions of passive solar, active solar, earth sheltered, and retrofitted housing were examined. Data used were from the Southern Regional Research Project, S-141, Housing for Low and Moderate Income Families. Responses from 1804 households living in seven southern states were analyzed. A conceptual model was proposed to test the hypothesized relationships which were examined by path analysis. Perceptions of energy efficient housing alternatives were found to be a function of selected household and dwelling characteristics, energy attitude, household economic factors, and household conservation behavior. Age and education of the respondent, family size, housing-income ratio, utility income ratio, energy attitude, and size of the dwelling unit were found to have direct and indirect effects on perceptions of energy-efficient housing alternatives. Energy conservation behavior made a significant direct impact with behavioral energy conservation changes having the most profound influence. Conservation behavior was influenced by selected household and dwelling characteristics, energy attitude, and household economic factors.

  1. The economics of housing lower income populations in South Africa : challenges and opportunities in KwaZulu-Natal

    E-Print Network [OSTI]

    Barriére, Marcella M

    2013-01-01

    Since 1994, approximately three million homes have been built for lower income households in South Africa, but as a result of population growth, immigration, increasing urbanization and systemic inefficiencies, such as ...

  2. Try This: Household Magnets

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired SolarAbout / TransformingTransuranicTrillion Advanced UsageHousehold

  3. Simulation of household in-home and transportation energy use : an integrated behavioral model for estimating energy consumption at the neighborhood scale

    E-Print Network [OSTI]

    Yu, Feifei, S.M. Massachusetts Institute of Technology

    2013-01-01

    Household in-home activities and out-of-home transportation are two major sources of urban energy consumption. In light of China's rapid urbanization and income growth, changing lifestyles and consumer patterns - evident ...

  4. Household Hazardous Waste Household hazardous waste is the discarded, unused, or leftover portion of household products

    E-Print Network [OSTI]

    de Lijser, Peter

    over a larger area and releases them into the air. Pouring hazardous liquids on the ground can poisonHousehold Hazardous Waste Household hazardous waste is the discarded, unused, or leftover portion should be considered hazardous. You cannot treat hazardous wastes like other kinds of garbage

  5. Federal options for low-income electricity policy

    SciTech Connect (OSTI)

    Baxter, L.W.

    1998-06-01

    Protection of low-income consumers remains an important public policy concern in a restructuring electricity industry. Policies are needed to ensure that low-income households have enough affordable electricity to protect their health and safety, and that they are not victimized by unscrupulous suppliers. In this paper, the author presents three broad federal roles in setting low-income electricity policy, and discuss three more specific policy areas: universal service, electricity assistance, and health and safety. He discusses the key policy issues that arise when considering these potential federal initiatives and draw upon reviews of proposed low-income policies from restructuring proposals in eight states--California, Massachusetts, New Hampshire, New York, Pennsylvania, Rhode Island, Vermont, and Wisconsin.

  6. Resource handbook for low-income residential retrofits

    SciTech Connect (OSTI)

    Callaway, J.W.; Brenchley, D.L.; Davis, L.J.; Ivey, D.L.; Smith, S.A.; Westergard, E.J.

    1987-04-01

    The purpose of the handbook is to provide technical assistance to state grantees participating in the Partnerships in Low-Income Residential Retrofit (PILIRR) Program. PILIRR is a demonstration program aimed at identifying innovative, successful approaches to developing public and private support for weatherization of low-income households. The program reflects the basic concept that responsibility for financial support for conservation activities such as low-income residential retrofitting is likely to gradually shift from the DOE to the states and the private sector. In preparing the handbook, PNL staff surveyed over 50 programs that provide assistance to low-income residents. The survey provided information on factors that contribute to successful programs. PNL also studied the winning PILIRR proposals (from the states of Florida, Iowa, Kentucky, Oklahoma and Washington) and identified the approaches proposed and the type of information that would be most helpful in implementing these approaches.

  7. Emotion Regulation JAMES J. GROSS

    E-Print Network [OSTI]

    Gross, James J.

    CHAPTER 31 ·Emotion Regulation JAMES J. GROSS Have you ever gotten so angry that you've done). Although the topic of emotion regulation is a relatively late addition to the field of emotion, a concern with emotion regulation is anything but new. Emotion regu lation has been a focus in the study of psycho

  8. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    9a. Air Conditioning by Northeast Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE Row...

  9. appl_household2001.pdf

    U.S. Energy Information Administration (EIA) Indexed Site

    8a. Appliances by UrbanRural Location, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total UrbanRural Location 1 RSE Row Factors City Town...

  10. housingunit_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    Pages HC1-1a. Housing Unit Characteristics by Climate Zone, Million U.S. Households, 2001 5 HC1-2a. Housing Unit Characteristics by Year of Construction, Million U.S....

  11. appl_household2001.pdf

    U.S. Energy Information Administration (EIA) Indexed Site

    2a. Appliances by Year of Construction, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001...

  12. appl_household2001.pdf

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    0a. Appliances by Midwest Census Region, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total...

  13. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    4a. Air Conditioning by Type of Housing Unit, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Type of Housing Unit RSE Row Factors...

  14. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    8a. Air Conditioning by UrbanRural Location, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total UrbanRural Location 1 RSE Row Factors City...

  15. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    5a. Appliances by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Owner- Occupied Units Type of...

  16. appl_household2001.pdf

    U.S. Energy Information Administration (EIA) Indexed Site

    1a. Appliances by South Census Region, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total...

  17. char_household2001.pdf

    U.S. Energy Information Administration (EIA) Indexed Site

    2001 Household Characteristics RSE Column Factor: Total U.S. Four Most Populated States RSE Row Factors New York California Texas Florida 0.4 1.1 1.0 1.5 1.5 Total...

  18. appl_household2001.pdf

    U.S. Energy Information Administration (EIA) Indexed Site

    9a. Appliances by Northeast Census Region, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE Row Factors...

  19. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2a. Air Conditioning by West Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total...

  20. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    0a. Air Conditioning by Midwest Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors...

  1. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    4a. Appliances by Type of Housing Unit, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Type of Housing Unit RSE Row Factors...

  2. appl_household2001.pdf

    U.S. Energy Information Administration (EIA) Indexed Site

    6a. Appliances by Type of Rented Housing Unit, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Rented Units Type of Rented Housing Unit...

  3. ac_household2001.pdf

    U.S. Energy Information Administration (EIA) Indexed Site

    2a. Air Conditioning by Year of Construction, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to...

  4. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2a. Appliances by West Census Region, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total...

  5. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    1a. Air Conditioning by South Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total...

  6. spaceheat_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2a. Space Heating by Year of Construction, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1...

  7. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    a. Air Conditioning by Climate Zone, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Climate Zone 1 RSE Row Factors Fewer than 2,000 CDD and...

  8. homeoffice_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2a. Home Office Equipment by Year of Construction, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1...

  9. homeoffice_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    0a. Home Office Equipment by Midwest Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total...

  10. homeoffice_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    1a. Home Office Equipment by South Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total Census...

  11. homeoffice_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    9a. Home Office Equipment by Northeast Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. Northeast Census Region RSE Row Factors...

  12. homeoffice_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2a. Home Office Equipment by West Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total Census...

  13. Physics Nobel winner David Gross gives public lecture at Jefferson...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Physics Nobel winner David Gross gives public lecture at Jefferson Lab on June 12 (Monday) June 6, 2006 David Gross David Gross, Nobel Prize recipient and lecturer David Gross,...

  14. Income Protection (IP) Insurance 

    E-Print Network [OSTI]

    Stokes, Kenneth; Barnaby, G. A. Art; Waller, Mark L.; Outlaw, Joe

    1999-06-09

    Kenneth Stokes, G.A. ?Art? Barnaby, Mark Waller and Joe Outlaw* The Income Protection (IP) program insures the producer against lost income from reductions in yield or price. This policy pays when the harvested and appraised production to count, multiplied...

  15. Household energy use in urban Venezuela: Implications from surveys in Maracaibo, Valencia, Merida, and Barcelona-Puerto La Cruz

    SciTech Connect (OSTI)

    Figueroa, M.J.; Sathaye, J.

    1993-08-01

    This report identifies the most important results of a comparative analysis of household commercial energy use in Venezuelan urban cities. The use of modern fuels is widespread among all cities. Cooking consumes the largest share of urban household energy use. The survey documents no use of biomass and a negligible use of kerosene for cooking. LPG, natural gas, and kerosene are the main fuels available. LPG is the fuel choice of low-income households in all cities except Maracaibo, where 40% of all households use natural gas. Electricity consumption in Venezuela`s urban households is remarkably high compared with the levels used in households in comparable Latin American countries and in households of industrialized nations which confront harsher climatic conditions and, therefore, use electricity for water and space heating. The penetration of appliances in Venezuela`s urban households is very high. The appliances available on the market are inefficient, and there are inefficient patterns of energy use among the population. Climate conditions and the urban built form all play important roles in determining the high level of energy consumption in Venezuelan urban households. It is important to acknowledge the opportunities for introducing energy efficiency and conservation in Venezuela`s residential sector, particularly given current economic and financial constraints, which may hamper the future provision of energy services.

  16. The Household Market for Electric Vehicles: Testing the Hybrid Household Hypothesis--A Reflively Designed Survey of New-car-buying, Multi-vehicle California Households

    E-Print Network [OSTI]

    Turrentine, Thomas; Kurani, Kenneth

    1995-01-01

    HOW MANY HYBRID HOUSEHOLDS IN THE CALIFORNIA NEW CAR MARKET?average 2.43 cars per household, then the hybrid householdnumber of multi-car households that fit our hybrid household

  17. Farm Income Taxation 

    E-Print Network [OSTI]

    McEowen, Roger A.

    1999-06-23

    and claim deductions when payments are made. Conversely, taxpayers on the accrual method report income when it is earned and report expenses when incurred rather than when paid. The constructive receipt doctrine. Cash basis taxpayers must take income... or constructively received. In effect, insurance proceeds received as a result of crop destruction or damage are treated as a ?sale? of the crop. Weather-related sales of livestock. If a farmer sells livestock (other than poultry) held for draft, dairy or breeding...

  18. char_household2001.pdf

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos AlamosSimulation Initiative ccsi.jpg The03a. Household4a. Household

  19. ,"Texas Natural Gas Gross Withdrawals and Production"

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  20. ,"Kansas Natural Gas Gross Withdrawals and Production"

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Kansas Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  1. ,"Pennsylvania Natural Gas Gross Withdrawals and Production"

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  2. ,"Kentucky Natural Gas Gross Withdrawals and Production"

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Kentucky Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  3. ,"Oregon Natural Gas Gross Withdrawals and Production"

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Oregon Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301979" ,"Release...

  4. ,"Virginia Natural Gas Gross Withdrawals and Production"

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Virginia Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  5. ,"Missouri Natural Gas Gross Withdrawals and Production"

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Missouri Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  6. ,"Illinois Natural Gas Gross Withdrawals and Production"

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Illinois Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  7. ,"Florida Natural Gas Gross Withdrawals and Production"

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Florida Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  8. ,"Utah Natural Gas Gross Withdrawals and Production"

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Utah Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  9. ,"Indiana Natural Gas Gross Withdrawals and Production"

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Indiana Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  10. ,"Nevada Natural Gas Gross Withdrawals and Production"

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Nevada Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301991" ,"Release...

  11. ,"Montana Natural Gas Gross Withdrawals and Production"

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Montana Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  12. ,"Ohio Natural Gas Gross Withdrawals and Production"

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Ohio Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  13. ,"California Natural Gas Gross Withdrawals and Production"

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","California Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  14. ,"Mississippi Natural Gas Gross Withdrawals and Production"

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Mississippi Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  15. ,"Nebraska Natural Gas Gross Withdrawals and Production"

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Nebraska Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  16. ,"Michigan Natural Gas Gross Withdrawals and Production"

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Michigan Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  17. ,"Tennessee Natural Gas Gross Withdrawals and Production"

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Tennessee Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  18. ,"Oklahoma Natural Gas Gross Withdrawals and Production"

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Oklahoma Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  19. ,"Wyoming Natural Gas Gross Withdrawals and Production"

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Wyoming Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  20. ,"Maryland Natural Gas Gross Withdrawals and Production"

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Maryland Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  1. ,"Louisiana Natural Gas Gross Withdrawals and Production"

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  2. ,"Colorado Natural Gas Gross Withdrawals and Production"

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  3. Essays on microeconomics of the household

    E-Print Network [OSTI]

    Wahhaj, Zaki

    2006-01-01

    These essays are concerned with the problem of cooperation among individuals in a household and among households in a community under lack of commitment. The first chapter provides a theoretical investigation of consumption ...

  4. The value of bushmeat and other wild foods to rural households living in extreme poverty in Democratic Republic

    E-Print Network [OSTI]

    Langerhans, Brian

    The value of bushmeat and other wild foods to rural households living in extreme poverty between poverty and the use of wild foods, namely bushmeat, fish and wild plants, within a Congolese poverty (income below US$1 per capita per day). Our analyses indicate that wild foods play a small role

  5. Smoking in top-grossing US movies 2014

    E-Print Network [OSTI]

    Polansky, Jonathan R; Titus, Kori; Atayeva, Renata; Glantz, Stanton A PhD

    2015-01-01

    Smoking in top?grossing US movies Jonathan R. PolanskyApril 23, 2015 Smoking in top?grossing US movies: 2014 | 2about 20 percent of all top?grossing films. Tobacco presence

  6. Louisiana Natural Gas Gross Withdrawals and Production

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2009 2010 2011 2012 2013 2014 View History Gross Withdrawals 1,558,638 2,218,283...

  7. Montana Natural Gas Gross Withdrawals and Production

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2009 2010 2011 2012 2013 2014 View History Gross Withdrawals 105,251 93,266 79,506...

  8. char_household2001.pdf

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos AlamosSimulation Initiative ccsi.jpg The0 11.07125Household Tables

  9. char_household2001.pdf

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos AlamosSimulation Initiative ccsi.jpg The0 11.07125Household

  10. char_household2001.pdf

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos AlamosSimulation Initiative ccsi.jpg The0 11.07125Household1a.

  11. char_household2001.pdf

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos AlamosSimulation Initiative ccsi.jpg The0 11.07125Household1a.2a.

  12. char_household2001.pdf

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos AlamosSimulation Initiative ccsi.jpg The0 11.07125Household1a.2a.a.

  13. char_household2001.pdf

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos AlamosSimulation Initiative ccsi.jpg The03a. Household

  14. char_household2001.pdf

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos AlamosSimulation Initiative ccsi.jpg The03a. Household4a.

  15. char_household2001.pdf

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos AlamosSimulation Initiative ccsi.jpg The03a. Household4a.6a.

  16. char_household2001.pdf

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos AlamosSimulation Initiative ccsi.jpg The03a. Household4a.6a.2001

  17. char_household2001.pdf

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos AlamosSimulation Initiative ccsi.jpg The03a. Household4a.6a.20018a.

  18. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    E-Print Network [OSTI]

    Masanet, Eric

    2010-01-01

    of  American household carbon footprint. ” Ecological and  limitations) of carbon footprint estimates toward of the art in carbon footprint analyses for California, 

  19. Strategies for Collecting Household Energy Data | Department...

    Broader source: Energy.gov (indexed) [DOE]

    Strategies for Collecting Household Energy Data, Call Slides and Discussion Summary, July 19, 2012. Call Slides and Discussion Summary More Documents & Publications Homeowner and...

  20. Detailed Income Statement Descriptions

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent BondingMeeting |Design CompetitionsFuelof 12 Detailed Income

  1. Left to Our Own Devices – Financing Efficiency for Small Business and Low-Income Families (2009 Environmental Defense Fund Report)

    Office of Energy Efficiency and Renewable Energy (EERE)

    There is a widely known gap between cost-effective behavior, consumption patterns and actual marketplace conditions. This engineering gap/efficiency gap is particularly the case for low-income households and small businesses, which tend to depend on older, inefficient equipment. This study identifies the limitations of current and potential of relatively new mechanisms for efficiency investment micro-financing.

  2. Californians' Beliefs About Income Inequality

    E-Print Network [OSTI]

    Ahler, Douglas J; Kelly, Beckett; Lenz, Gabriel; Rarick, Ethan; Stoker, Laura

    2015-01-01

    and potential remedies for inequality. On some issues,California’s Rising Income Inequality: Causes and Concerns,Bruce. Debate over Inequality Highlights Sharp Partisan

  3. Low-income energy assistance programs: a profile of need and policy options

    SciTech Connect (OSTI)

    None

    1980-07-01

    This second report of the Fuel Oil Marketing Advisory Committee (FOMAC) of DOE is twofold: to update information on the energy needs of low-income persons and governmental response to such needs; and to emphasize the need for energy-conservation programs that may alleviate the enormous financial burden placed on low-income people by rising energy prices. FOMAC has continued to develop further and refine its initial energy-conservation recommendations. Mainly, the updated assessment document finds that the poor will expend at least 35% of their income directly on energy and will spend at least 21% of their income on household energy. Other economic impacts of rising energy costs on low-income groups are summarized. Appropriations and stipulations by Congress to aid the lo-income people are reviewed. After careful review of various program designs, FOMAC continues to support the income indexing/vendor line of credit approach. This design provides assistance to elgible households based on: energy needed, cost of fuel, and percentage of income. The cost of implementing the FOMAC design nationally would, according to estimates, range from $3.5 to $4.6 billion for the 1980-1981 winter heating season. A figure of $1.6 to $2.2 billion is being discussed in the Congress. Meeting the ongoing energy needs of the poor will require a coherent national policy which consists of aid in paying energy bills and aid in the poor's effort to conserve energy. The report seeks to promote such policies. Needs assessment, government response, FOMAC model, comments on the programs, projected cost of 1980-1981 Energy Assistance Program, need for conservation programs, and program financing are discussed.

  4. WPN 13-3: 2013 Poverty Income Guidelines and Definition of Income

    Broader source: Energy.gov [DOE]

    To provide states with the 2013 Poverty Income Guidelines and Definition of Income for use in the low-income Weatherization Assistance Program (WAP).

  5. The impact of forecasted energy price increases on low-income consumers

    SciTech Connect (OSTI)

    Eisenberg, Joel F. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

    2005-10-31

    The Department of Energy’s Energy Information Administration (EIA) recently released its short term forecast for residential energy prices for the winter of 2005-2006. The forecast indicates significant increases in fuel costs, particularly for natural gas, propane, and home heating oil, for the year ahead. In the following analysis, the Oak Ridge National Laboratory has integrated the EIA price projections with the Residential Energy Consumption Survey (RECS) for 2001 in order to project the impact of these price increases on the nation’s low-income households by primary heating fuel type, nationally and by Census Region. The statistics are intended for the use of policymakers in the Department of Energy’s Weatherization Assistance Program and elsewhere who are trying to gauge the nature and severity of the problems that will be faced by eligible low-income households during the 2006 fiscal year.

  6. Blowup alternative for Gross-Pitaevskii hierarchies

    E-Print Network [OSTI]

    Zeqian Chen; Chengjun He; Chuangye Liu

    2012-03-20

    In this paper, we prove the blowup alternative for Gross-Pitaevskii hierarchies on $\\mathbb{R}^n$ and give the associated lower bounds on the blowup rate. In particular, we prove that any solution of density operators to the focusing Gross-Pitaevskii hierarchy blow up in finite time for $n \\ge 3$ if the energy per some $k$ particles in the initial condition is negative. All of these results hold without the assumption of factorized conditions for initial values as well as the admissible ones. Our analysis is based on use of a quasi-Banach space of sequences of marginal density matrices.

  7. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    SciTech Connect (OSTI)

    Kramer, Klaas Jan; Homan, Greg; Brown, Rich; Worrell, Ernst; Masanet, Eric

    2009-04-15

    The term ?household carbon footprint? refers to the total annual carbon emissions associated with household consumption of energy, goods, and services. In this project, Lawrence Berkeley National Laboratory developed a carbon footprint modeling framework that characterizes the key underlying technologies and processes that contribute to household carbon footprints in California and the United States. The approach breaks down the carbon footprint by 35 different household fuel end uses and 32 different supply chain fuel end uses. This level of end use detail allows energy and policy analysts to better understand the underlying technologies and processes contributing to the carbon footprint of California households. The modeling framework was applied to estimate the annual home energy and supply chain carbon footprints of a prototypical California household. A preliminary assessment of parameter uncertainty associated with key model input data was also conducted. To illustrate the policy-relevance of this modeling framework, a case study was conducted that analyzed the achievable carbon footprint reductions associated with the adoption of energy efficient household and supply chain technologies.

  8. A Multi Agent-Based Framework for Simulating Household PHEV Distribution and Electric Distribution Network Impact

    SciTech Connect (OSTI)

    Cui, Xiaohui [ORNL] [ORNL; Liu, Cheng [ORNL] [ORNL; Kim, Hoe Kyoung [ORNL] [ORNL; Kao, Shih-Chieh [ORNL] [ORNL; Tuttle, Mark A [ORNL] [ORNL; Bhaduri, Budhendra L [ORNL] [ORNL

    2011-01-01

    The variation of household attributes such as income, travel distance, age, household member, and education for different residential areas may generate different market penetration rates for plug-in hybrid electric vehicle (PHEV). Residential areas with higher PHEV ownership could increase peak electric demand locally and require utilities to upgrade the electric distribution infrastructure even though the capacity of the regional power grid is under-utilized. Estimating the future PHEV ownership distribution at the residential household level can help us understand the impact of PHEV fleet on power line congestion, transformer overload and other unforeseen problems at the local residential distribution network level. It can also help utilities manage the timing of recharging demand to maximize load factors and utilization of existing distribution resources. This paper presents a multi agent-based simulation framework for 1) modeling spatial distribution of PHEV ownership at local residential household level, 2) discovering PHEV hot zones where PHEV ownership may quickly increase in the near future, and 3) estimating the impacts of the increasing PHEV ownership on the local electric distribution network with different charging strategies. In this paper, we use Knox County, TN as a case study to show the simulation results of the agent-based model (ABM) framework. However, the framework can be easily applied to other local areas in the US.

  9. Material World: Forecasting Household Appliance Ownership in a Growing Global Economy

    SciTech Connect (OSTI)

    Letschert, Virginie; McNeil, Michael A.

    2009-03-23

    Over the past years the Lawrence Berkeley National Laboratory (LBNL) has developed an econometric model that predicts appliance ownership at the household level based on macroeconomic variables such as household income (corrected for purchase power parity), electrification, urbanization and climate variables. Hundreds of data points from around the world were collected in order to understand trends in acquisition of new appliances by households, especially in developing countries. The appliances covered by this model are refrigerators, lighting fixtures, air conditioners, washing machines and televisions. The approach followed allows the modeler to construct a bottom-up analysis based at the end use and the household level. It captures the appliance uptake and the saturation effect which will affect the energy demand growth in the residential sector. With this approach, the modeler can also account for stock changes in technology and efficiency as a function of time. This serves two important functions with regard to evaluation of the impact of energy efficiency policies. First, it provides insight into which end uses will be responsible for the largest share of demand growth, and therefore should be policy priorities. Second, it provides a characterization of the rate at which policies affecting new equipment penetrate the appliance stock. Over the past 3 years, this method has been used to support the development of energy demand forecasts at the country, region or global level.

  10. Household gasoline demand in the United States

    E-Print Network [OSTI]

    Schmalensee, Richard

    1995-01-01

    Continuing rapid growth in U.S. gasoline consumption threatens to exacerbate environmental and congestion problems. We use flexible semiparametric and nonparametric methods to guide analysis of household gasoline consumption, ...

  11. Household energy consumption and expenditures 1993

    SciTech Connect (OSTI)

    1995-10-05

    This presents information about household end-use consumption of energy and expenditures for that energy. These data were collected in the 1993 Residential Energy Consumption Survey; more than 7,000 households were surveyed for information on their housing units, energy consumption and expenditures, stock of energy-consuming appliances, and energy-related behavior. The information represents all households nationwide (97 million). Key findings: National residential energy consumption was 10.0 quadrillion Btu in 1993, a 9% increase over 1990. Weather has a significant effect on energy consumption. Consumption of electricity for appliances is increasing. Houses that use electricity for space heating have lower overall energy expenditures than households that heat with other fuels. RECS collected data for the 4 most populous states: CA, FL, NY, TX.

  12. "Table HC7.10 Home Appliances Usage Indicators by Household Income, 2005"

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price to fall to $3.43U.S.longec 188 U.S.1 HomeRegional37 Housing843480 Home

  13. "Table HC7.12 Home Electronics Usage Indicators by Household Income, 2005"

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price to fall to $3.43U.S.longec 188 U.S.1 HomeRegional37 Housing843480 Home2

  14. "Table HC7.5 Space Heating Usage Indicators by Household Income, 2005"

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price to fall to $3.43U.S.longec 188 U.S.1 HomeRegional37 Housing843480

  15. CommunityOrganizedHouseholdWaterIncreasesNot Only Rural incomes, but AlsoMen’sWork

    E-Print Network [OSTI]

    Corw, Ben; Swallow, Brent; Asamba, Isabella

    2012-01-01

    Is there a role for rural communities? Rome, FAO. Blackden,priority for many rural communities. In Kericho district, inmulti- country study of community-managed rural water supply

  16. Loan Programs for Low- and Moderate-Income Households | Department of

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i nAand DOE Safety StandardsLaborLignol InnovationsListing1,400

  17. Table HC1-3a. Housing Unit Characteristics by Household Income,

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices, Sales Volumes & Stocks by0a.a.3a.

  18. Gross error detection in process data 

    E-Print Network [OSTI]

    Singh, Gurmeet

    1992-01-01

    , 1991), with many optimum properties, seems to have been untapped by chemical engineers. We first review the background of the Tr test, and present relevant properties of the test. IV. A Hotelling's Generalization of Students t Test One of the most...: Chemical Engineering GROSS ERROR DETECTION IN PROCESS DATA A Thesis by GURMEET SINGH Approved as to style and content by: Ralph E. White (Chair of Committee) Michael Nikoloau (Member Richard B. Gri n (Member) R. W. Flummerfelt (Head...

  19. Low-Income Weatherization: The Human Dimension

    Broader source: Energy.gov [DOE]

    This presentation focuses on how the human dimension saves energy within low-income weatherization programs.

  20. Essays on household decision making in developing countries

    E-Print Network [OSTI]

    Berry, James W. (James Wesley)

    2009-01-01

    This dissertation contains three essays on household decision making in the areas of education and health in developing countries. The first chapter explores intra-household decision making in the context of conditional ...

  1. Utah Natural Gas Gross Withdrawals and Production

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (BillionProved Reserves (Billion CubicBarrels)Gross Withdrawals9. Number

  2. Virginia Natural Gas Gross Withdrawals and Production

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (BillionProved Reserves (Billion CubicBarrels)GrossYear Jan Feb Mar Apr MayFeet) Year

  3. Wyoming Natural Gas Gross Withdrawals and Production

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (BillionProved Reserves (Billion CubicBarrels)GrossYear JanWesternProvedFoot)

  4. Virginia Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan3 November18.5GrossDecadeAcquisitionsFeet) Decade

  5. Alaska Natural Gas Gross Withdrawals and Production

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion CubicEnergy Markets 24,Presented To:8, 20126.ProcessedProductionYear Jan% ofGross9,490

  6. Oregon Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan FebCubic Feet) YearYear Jan Feb Mar Apr2009GrossAlaska

  7. Kansas Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYearYearDecade Year-0163 258SalesNA 11,903GrossU.S.

  8. Mississippi Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012DecadeTotal19 1522 35 42 44Gross WithdrawalsU.S.

  9. Mississippi Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012DecadeTotal19 1522 35 42 44Gross

  10. David J. Gross and the Strong Force

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnical Report: Achievements ofCOMPOSITION OF VAPORSSeries)SupportedDavid J. Gross and the

  11. Michael Gross | Photosynthetic Antenna Research Center

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesse BergkampCentermillionStockpile Stewardship NationalMEMS:MfgMichael Gross

  12. Household Water Quality Home Water Quality Problems

    E-Print Network [OSTI]

    Liskiewicz, Maciej

    Household Water Quality Home Water Quality Problems­ Causes and Treatments Blake Ross, Extension impurities can be corrected if they are a nuisance. Before beginning any treatment plan, have water tested select the most effective and economical treatment method. www.ext.vt.edu Produced by Communications

  13. Time Feature Selection for Identifying Active Household Members

    E-Print Network [OSTI]

    ]. The identification of active house- hold members, defined as the discrimination of which users from a given household

  14. Demographic Patterns and Household Saving in China Chadwick C. Curtis

    E-Print Network [OSTI]

    Shyu, Mei-Ling

    Demographic Patterns and Household Saving in China Chadwick C. Curtis University of Richmond the aggregate household saving rate. We focus on China because it is experiencing an historic demographic transition and has had a massive increase in household saving. We conduct a quantitative investigation using

  15. ,"New Mexico Natural Gas Gross Withdrawals and Production"

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Gross Withdrawals and Production",10,"Monthly","52015","01151989"...

  16. ,"Federal Offshore Gulf of Mexico Natural Gas Gross Withdrawals...

    U.S. Energy Information Administration (EIA) Indexed Site

    Gulf of Mexico Natural Gas Gross Withdrawals and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest...

  17. ,"New Mexico Natural Gas Gross Withdrawals and Production"

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  18. ,"New Mexico Natural Gas Gross Withdrawals from Oil Wells (MMcf...

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Gross Withdrawals from Oil Wells (MMcf)",1,"Annual",2014 ,"Release...

  19. ,"New Mexico Natural Gas Gross Withdrawals from Gas Wells (MMcf...

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Gross Withdrawals from Gas Wells (MMcf)",1,"Annual",2014 ,"Release...

  20. Low-Income Californians Bear Unequal Burden of Asthma

    E-Print Network [OSTI]

    Babey, Susan H.; Hastert, Theresa A.; Meng, Ying-Ying; Brown, E. Richard

    2007-01-01

    Research Brief February 2007 Low-Income Californians Bearbelow the poverty level. 1 Low-income adults and childrenasthma exacerbations. Low-Income Families Disproportionately

  1. The IGS Survey: Californians' Beliefs about Income Inequality

    E-Print Network [OSTI]

    Ahler, Douglas J; Kelly, Beckett; Lenz, Gabriel; Rarick, Ethan; Stoker, Laura

    2015-01-01

    August 2015 Californians’ Beliefs about Income InequalityMobility and Income Inequality in California. San Francisco:California’s Rising Income Inequality: Causes and Concerns,

  2. Geography, Income, and Voters Explanations and Implications

    E-Print Network [OSTI]

    Gelman, Andrew

    1/54 Geography, Income, and Voters Explanations and Implications Election 2008: What Really State, Blue State, Rich State, Poor State #12;2/54 Geography, Income, and Voters Explanations, Poor State #12;3/54 Geography, Income, and Voters Explanations and Implications Election 2008: What

  3. BIOGRAPHICAL SKETCH -LOUIS J. GROSS (a) Professional Preparation

    E-Print Network [OSTI]

    Gross, Louis J.

    and Biological Synthesis 1997- present, Professor, Departments of Ecology and Evolutionary Biology)Five Publications Related to the Project: Hastings, A. and L.J. Gross (eds.). 2012. The Encyclopedia of Theoretical of Mathematical Biology 69:265-288. Gross, L. J. 2004. Interdisciplinarity and the undergraduate biology

  4. Household Energy Consumption Segmentation Using Hourly Data

    SciTech Connect (OSTI)

    Kwac, J; Flora, J; Rajagopal, R

    2014-01-01

    The increasing US deployment of residential advanced metering infrastructure (AMI) has made hourly energy consumption data widely available. Using CA smart meter data, we investigate a household electricity segmentation methodology that uses an encoding system with a pre-processed load shape dictionary. Structured approaches using features derived from the encoded data drive five sample program and policy relevant energy lifestyle segmentation strategies. We also ensure that the methodologies developed scale to large data sets.

  5. Three: Should California Adopt an Earned Income Tax Credit?

    E-Print Network [OSTI]

    Stark, Kirk J

    2006-01-01

    program designed to maximize the earned income of persons inIncome after Subsidy An alternative approach designed to maximize

  6. Current trends in income statements 

    E-Print Network [OSTI]

    Cass, Edwin Childers

    1948-01-01

    years 2 000 000 sy&i~9 Earnings of' prior years transferred to capital stock account. ' 99 dr 124, 4452088 Accumulated. earnings invested in plant facilitlss and added to zorking oaptta1 at ead od' year . ~189 4'14 919 An example of' the second...~the ?clams surplus theory, ?2 . ?& the ?all-inclusive income statement", , = or ths. "historical approach" ~ . And those who favor tbs second belief' are said to accept ths ?eiarning* power approach", oz the "current opera- ?, 5 ting perf'ozmance concept...

  7. 632 Bulletin of the World Health Organization 2003, 81 (9) Introduction

    E-Print Network [OSTI]

    van Geen, Alexander

    is a convenient source of water and its cost of about US$ 50 is moderate in relation to household income in a country with a per capita gross national product (GNP) of US$ 400 (3). However, elevated arsenic levels

  8. The Impact of Carsharing on Household Vehicle Ownership

    E-Print Network [OSTI]

    Martin, Elliot; Shaheen, Susan

    2011-01-01

    Household Vehicle Ownership ELLIOT MARTIN AND SUSAN SHAHEENwe asked questions about ? Elliot Martin is a PostdoctoralBoard, 1927: 158–166. Elliot Martin and Susan Shaheen.

  9. Barriers to household investment in residential energy conservation: preliminary assessment

    SciTech Connect (OSTI)

    Hoffman, W.L.

    1982-12-01

    A general assessment of the range of barriers which impede household investments in weatherization and other energy efficiency improvements for their homes is provided. The relationship of similar factors to households' interest in receiving a free energy audits examined. Rates of return that underly household investments in major conservation improvements are assessed. A special analysis of household knowledge of economically attractive investments is provided that compares high payback improvements specified by the energy audit with the list of needed or desirable conservation improvements identified by respondents. (LEW)

  10. Dynamic bargaining in households (with application to Bangladesh)

    E-Print Network [OSTI]

    Ligon, Ethan

    2002-01-01

    rural credit programs in Bangladesh. World Development 24 (the Grameen bank in Econ­ Bangladesh. Technical Report 65,household allocation in Bangladesh. The model resolves a

  11. Household Response To Dynamic Pricing Of Electricity: A Survey...

    Open Energy Info (EERE)

    and Canada. The report suggests conclusive evidence that households respond to higher prices by lowering usage. The magnitude of price response depends on several factors, such as...

  12. Residential Network Members Impact More Than 42,000 Households...

    Energy Savers [EERE]

    Members Impact More Than 42,000 Households Photo of a row of townhomes. Eligible Better Buildings Residential Network members reported completing 27,563 home energy upgrades...

  13. An Analysis of the Price Elasticity of Demand for Household Appliances

    SciTech Connect (OSTI)

    Fujita, Kimberly; Dale, Larry; Fujita, K. Sydny

    2008-01-25

    This report summarizes our study of the price elasticity of demand for home appliances, including refrigerators, clothes washers, and dishwashers. In the context of increasingly stringent appliance standards, we are interested in what kind of impact the increased manufacturing costs caused by higher efficiency requirements will have on appliance sales. We begin with a review of existing economics literature describing the impact of economic variables on the sale of durable goods.We then describe the market for home appliances and changes in this market over the past 20 years, performing regression analysis on the shipments of home appliances and relevant economic variables including changes to operating cost and household income. Based on our analysis, we conclude that the demand for home appliances is price inelastic.

  14. Emotion Regulation: Taking Stock and Moving Forward James J. Gross

    E-Print Network [OSTI]

    Gross, James J.

    Emotion Regulation: Taking Stock and Moving Forward James J. Gross Stanford University The field). In this article, I take stock of the field and consider how it might be moved forward. I do this by asking

  15. Short and Long-Term Perspectives: The Impact on Low-Income Consumers of Forecasted Energy Price Increases in 2008 and A Cap & Trade Carbon Policy in 2030

    SciTech Connect (OSTI)

    Eisenberg, Joel Fred [ORNL

    2008-01-01

    The Department of Energy's Energy Information Administration (EIA) recently released its short-term forecast for residential energy prices for the winter of 2007-2008. The forecast indicates increases in costs for low-income consumers in the year ahead, particularly for those using fuel oil to heat their homes. In the following analysis, the Oak Ridge National Laboratory has integrated the EIA price projections with the Residential Energy Consumption Survey (RECS) for 2001 in order to project the impact of these price increases on the nation's low-income households by primary heating fuel type, nationally and by Census Region. The report provides an update of bill estimates provided in a previous study, "The Impact Of Forecasted Energy Price Increases On Low-Income Consumers" (Eisenberg, 2005). The statistics are intended for use by policymakers in the Department of Energy's Weatherization Assistance Program and elsewhere who are trying to gauge the nature and severity of the problems that will be faced by eligible low-income households during the 2008 fiscal year. In addition to providing expenditure forecasts for the year immediately ahead, this analysis uses a similar methodology to give policy makers some insight into one of the major policy debates that will impact low-income energy expenditures well into the middle decades of this century and beyond. There is now considerable discussion of employing a cap-and-trade mechanism to first limit and then reduce U.S. emissions of carbon into the atmosphere in order to combat the long-range threat of human-induced climate change. The Energy Information Administration has provided an analysis of projected energy prices in the years 2020 and 2030 for one such cap-and-trade carbon reduction proposal that, when integrated with the RECS 2001 database, provides estimates of how low-income households will be impacted over the long term by such a carbon reduction policy.

  16. The scaling of income inequality in cities

    E-Print Network [OSTI]

    Sarkar, Somwrita; Simpson, Roderick; Wasnik, Sachin

    2015-01-01

    Developing a scientific understanding of cities in a fast urbanizing world is essential for planning sustainable urban systems. Recently, it was shown that income and wealth creation follow increasing returns, scaling superlinearly with city size. We study scaling of per capita incomes for separate census defined income categories against population size for the whole of Australia. Across several urban area definitions, we find that lowest incomes grow just linearly or sublinearly ($\\beta = 0.94$ to $1.00$), whereas highest incomes grow superlinearly ($\\beta = 1.00$ to $1.21$), with total income just superlinear ($\\beta = 1.03$ to $1.05$). These findings support the earlier finding: the bigger the city, the richer the city. But, we also see an emergent metric of inequality: the larger the population size and densities of a city, higher incomes grow more quickly than lower, suggesting a disproportionate agglomeration of incomes in the highest income categories in big cities. Because there are many more people ...

  17. WPN 12-8: 2012 Poverty Income Guidelines and Definition of Income

    Office of Energy Efficiency and Renewable Energy (EERE)

    To provide Grantees with the 2012 Poverty Income Guidelines and Definition of Income for use in the U.S. Department of Energy’s (DOE) Weatherization Assistance Program (WAP).

  18. Analysis of Household Energy Consumption Choices Objective: Develop a data-based analysis of US household energy use that provides a

    E-Print Network [OSTI]

    Wolberg, George

    Analysis of Household Energy Consumption Choices Objective: Develop a data-based analysis of US household energy use that provides a solid framework for understanding how policies such as carbon pricing could affect various subgroups of household energy consumers. Background: Household energy use in the US

  19. THE DESIRE TO ACQUIRE: FORECASTING THE EVOLUTION OF HOUSEHOLD

    E-Print Network [OSTI]

    THE DESIRE TO ACQUIRE: FORECASTING THE EVOLUTION OF HOUSEHOLD ENERGY SERVICES by Steven Groves BASc of Research Project: The Desire to Acquire: Forecasting the Evolution of Household Energy Services Report No, and gasoline. A fixed effects panel model was used to examine the relationship of demand for energy

  20. Measuring the return on household enterprise: What matters most for whom?

    E-Print Network [OSTI]

    Samphantharak, Krislert

    Return on assets (ROA) of household enterprise is crucial for understanding the productivity of households in developing economies. Yet the definition and measurement of household enterprise ROA remain inconsistent or ...

  1. The Household Market for Electric Vehicles: Testing the Hybrid Household Hypothesis--A Reflively Designed Survey of New-car-buying, Multi-vehicle California Households

    E-Print Network [OSTI]

    Turrentine, Thomas; Kurani, Kenneth

    1995-01-01

    HEV) - Natural Gas Vehicle (NGV) 140 or 180 80 or 120EV, and 20 percent chose an NGV. All EVs, including hybridHouseholds that wanted an NGV had a choice of two range

  2. Fixed Income Division Nomura International plc

    E-Print Network [OSTI]

    Macrina, Andrea

    Fixed Income Division © Nomura International plc Symmetry methods for quadratic Gaussian models International plc Outline Motivation The quadratic Gaussian distribution The quadratic Gaussian process The quadratic Gaussian model #12;Fixed Income Division 3© Nomura International plc Part 1 Motivation #12;Fixed

  3. INCOME INEQUALITY IN FORMER CENTRALLY PLANNED ECONOMIES

    E-Print Network [OSTI]

    Bateman, Ian J.

    transforms into a successful market economy, increased income inequalities may be desirable' (Doyle, 1996, p and the opportunities for non-agricultural income from the market liberalisation process would seem to be important adjustment to market in transition economies. As Doyle (1996) has stated for example: `to ensure that Russia

  4. Linking Economic Complexity, Institutions and Income Inequality

    E-Print Network [OSTI]

    Hartmann, D; Jara-Figueroa, C; Aristarán, M; Hidalgo, C A

    2015-01-01

    The mix of products that a country exports predicts that country's subsequent pattern of diversification and economic growth. But does this product mix also predict income inequality? Here we combine methods from econometrics, network science, and economic complexity to show that countries that export complex products - products that are exported by a few diversified countries - have lower levels of income inequality - at comparable levels of GDP per capita and education - than countries exporting simpler products. Using multivariate analysis we show that the connection between income inequality and economic complexity is stronger than what can be explained using aggregate measures of income, institutions, export concentration, and human capital, and also, that increases in economic complexity are accompanied by decreases in income inequality over long periods of time. Finally, we use the position of a country in the network of related products - or product space - to explain how changes in a country's export...

  5. Fact #618: April 12, 2010 Vehicles per Household and Other Demographic...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    8: April 12, 2010 Vehicles per Household and Other Demographic Statistics Fact 618: April 12, 2010 Vehicles per Household and Other Demographic Statistics Since 1969, the number...

  6. Essays on the household-level effects of house price growth

    E-Print Network [OSTI]

    Sitgraves, Claudia Ayanna

    2009-01-01

    in wealth from household saving, such passive gains canpassive changes in the value of other assets (such as vehicle depreciation), it is an estimate of how much households

  7. Rapid energy savings in London's households to mitigate an energy crisis

    E-Print Network [OSTI]

    Julien, Aurore; Barrett, Mark; Croxford, Ben

    2011-01-01

    to mitigate an energy crisis Wood, G. & Newborough, M. ,households to mitigate an energy crisis Chen, A. , 2008.households to mitigate an energy crisis Rapid energy savings

  8. Food insecurity prominent among low-income California Latinos

    E-Print Network [OSTI]

    2004-01-01

    Kool-Aid Fruit punch Popsicles Candy * In these households,cookies, crackers, candy, popsicles, ice cream, hot dogs,

  9. Top Incomes in the Long Run of History

    E-Print Network [OSTI]

    Atkinson, Anthony B.; Piketty, Thomas; Saez, Emmanuel

    2012-01-01

    A. B. and T. Piketty eds. Top Incomes over the TwentiethPress. Atkinson, Anthony B. (2010) “Top incomes in a rapidlyA. B. and T. Piketty eds. Top Incomes over the Twentieth

  10. Title: USA Census Grids Data Creator /

    E-Print Network [OSTI]

    , Incomes, Education, Immigration, Poverty, Household Sizes, Female-headed households, Household Occupancy

  11. Revisiting the Income Effect: Gasoline Prices and Grocery Purchases

    E-Print Network [OSTI]

    Gicheva, Dora; Hastings, Justine; Villas-Boas, Sofia B

    2008-01-01

    Mortgage or Rent Gasoline and Motor Oil Income after taxesMortgage or Rent Gasoline and Motor Oil Income after taxes

  12. Proposed Structure and Organizing Principles for Low Income Energy...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Structure and Organizing Principles for Low Income Energy Efficiency Workgroup 1 Background As part of Post-2011-Review, BPA agreed to convene a low income energy efficiency...

  13. Structure and Organizing Principles for Low Income Energy Efficiency

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Organizing Principles for Low Income Energy Efficiency Workgroup 1 Background As part of Post-2011-Review, BPA agreed to convene a low income energy efficiency workgroup. The...

  14. The State and income inequality in Brazil

    E-Print Network [OSTI]

    Medeiros, Marcelo; Souza, Pedro H.G.F.

    2013-01-01

    Cash Transfers in Brazil, Chile and Mexico: Impacts uponand income inequality in Brazil Journal. 1986;96(383):722–the inequality levels in Brazil would be much higher than

  15. Handbook for Incoming Law Exchange Students

    E-Print Network [OSTI]

    Gasch, Audrey P.

    Handbook for Incoming Law Exchange Students Prepared by Global Legal Studies Center UW Law School Directors .......................................................................... 5 Selecting courses in conjunction with other material sent to you by the International Academic Programs (IAP) which coordinates

  16. Householder Symposium on Numerical Linear Algebra June 1721, 2002

    E-Print Network [OSTI]

    Higham, Nicholas J.

    for discussions. This year's symposium is held at Peebles Hotel Hydro in the small town of Peebles (populationHouseholder Symposium on Numerical Linear Algebra June 17­21, 2002 Peebles Hotel Hydro, Scotland

  17. Forest Clearing Among Farm Households in the Maya Biosphere Reserve*

    E-Print Network [OSTI]

    Lopez-Carr, David

    Forest Clearing Among Farm Households in the Maya Biosphere Reserve* David L. Carr University, Pete´n, to agri- cultural settlement (Bilsborrow and Carr 2001). Since the southern half

  18. Deep cuts in household greenhouse gas emissions Andrew Blakers

    E-Print Network [OSTI]

    Deep cuts in household greenhouse gas emissions Andrew Blakers Director, Centre for Sustainable Energy Systems Australian National University Ph 61 2 6125 5905 Andrew.blakers@anu.edu.au Web: http

  19. Fact #614: March 15, 2010 Average Age of Household Vehicles

    Broader source: Energy.gov [DOE]

    The average age of household vehicles has increased from 6.6 years in 1977 to 9.2 years in 2009. Pickup trucks have the oldest average age in every year listed. Sport utility vehicles (SUVs), first...

  20. Monthly Crude Oil and Natural Gas Gross Production Report

    Reports and Publications (EIA)

    2015-01-01

    Monthly natural gas gross withdrawals estimated from data collected on Form EIA-914 (Monthly Natural Gas Production Report) for Federal Offshore Gulf of Mexico, Texas, Louisiana, New Mexico, Oklahoma, Texas, Wyoming, other states and lower 48 states. Alaska data are from the Alaska state government and included to obtain a U.S. total.

  1. CANONICAL BASES FOR CLUSTER ALGEBRAS MARK GROSS, PAUL HACKING, SEAN KEEL, AND MAXIM KONTSEVICH

    E-Print Network [OSTI]

    Hacking, Paul

    CANONICAL BASES FOR CLUSTER ALGEBRAS MARK GROSS, PAUL HACKING, SEAN KEEL, AND MAXIM KONTSEVICH 2, 2014. 1 #12;2 MARK GROSS, PAUL HACKING, SEAN KEEL, AND MAXIM KONTSEVICH 6. The formal Fock

  2. Fact #768: February 25, 2013 New Light Vehicle Sales and Gross...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    8: February 25, 2013 New Light Vehicle Sales and Gross Domestic Product Fact 768: February 25, 2013 New Light Vehicle Sales and Gross Domestic Product Over the last four decades,...

  3. Transferring 2001 National Household Travel Survey

    SciTech Connect (OSTI)

    Hu, Patricia S; Reuscher, Tim; Schmoyer, Richard L; Chin, Shih-Miao

    2007-05-01

    Policy makers rely on transportation statistics, including data on personal travel behavior, to formulate strategic transportation policies, and to improve the safety and efficiency of the U.S. transportation system. Data on personal travel trends are needed to examine the reliability, efficiency, capacity, and flexibility of the Nation's transportation system to meet current demands and to accommodate future demand. These data are also needed to assess the feasibility and efficiency of alternative congestion-mitigating technologies (e.g., high-speed rail, magnetically levitated trains, and intelligent vehicle and highway systems); to evaluate the merits of alternative transportation investment programs; and to assess the energy-use and air-quality impacts of various policies. To address these data needs, the U.S. Department of Transportation (USDOT) initiated an effort in 1969 to collect detailed data on personal travel. The 1969 survey was the first Nationwide Personal Transportation Survey (NPTS). The survey was conducted again in 1977, 1983, 1990, 1995, and 2001. Data on daily travel were collected in 1969, 1977, 1983, 1990 and 1995. In 2001, the survey was renamed the National Household Travel Survey (NHTS) and it collected both daily and long-distance trips. The 2001 survey was sponsored by three USDOT agencies: Federal Highway Administration (FHWA), Bureau of Transportation Statistics (BTS), and National Highway Traffic Safety Administration (NHTSA). The primary objective of the survey was to collect trip-based data on the nature and characteristics of personal travel so that the relationships between the characteristics of personal travel and the demographics of the traveler can be established. Commercial and institutional travel were not part of the survey. Due to the survey's design, data in the NHTS survey series were not recommended for estimating travel statistics for categories smaller than the combination of Census division (e.g., New England, Middle Atlantic, and Pacific), MSA size, and the availability of rail. Extrapolating NHTS data within small geographic areas could risk developing and subsequently using unreliable estimates. For example, if a planning agency in City X of State Y estimates travel rates and other travel characteristics based on survey data collected from NHTS sample households that were located in City X of State Y, then the agency could risk developing and using unreliable estimates for their planning process. Typically, this limitation significantly increases as the size of an area decreases. That said, the NHTS contains a wealth of information that could allow statistical inferences about small geographic areas, with a pre-determined level of statistical certainty. The question then becomes whether a method can be developed that integrates the NHTS data and other data to estimate key travel characteristics for small geographic areas such as Census tract and transportation analysis zone, and whether this method can outperform other, competing methods.

  4. Gross-Neveu and Thirring models. Covariant Gaussian analysis

    SciTech Connect (OSTI)

    Rosenstein, B.; Kovner, A.

    1989-07-15

    Two-dimensional fermionic theories, the SU(/ital N/) Gross-Neveu and themassive Thirring models, are analyzed in the covariant Gaussian approximation.In the Gross-Neveu model we find three phases (renormalizations). In one ofthem the results coincide with the leading order in 1//ital N/ expansion. Inthe other two phases the gap equation has no solution and there are nofermionic excitations in the spectrum of the theory. It is argued that thoserenormalizations are relevant for /ital N/=1,2. The massive Thirringmodel is found to possess a line of ultraviolet fixed points. In the limit/ital m//sub /ital b///r arrow/0 the axial symmetry is not broken. The 2/r arrow/2/ital S/-matrix element for the nonasymptotically free phase is calculated andit qualitatively agrees with the exact expression. We also find anasymptotically free phase with vanishing bare coupling.

  5. Modeling patterns of hot water use in households

    SciTech Connect (OSTI)

    Lutz, J.D.; Liu, Xiaomin; McMahon, J.E.

    1996-11-01

    This report presents a detailed model of hot water use patterns in individual household. The model improves upon an existing model by including the effects of four conditions that were previously unaccounted for: the absence of a clothes washer; the absence of a dishwasher; a household consisting of seniors only; and a household that does not pay for its own hot water use. Although these four conditions can significantly affect residential hot water use, and have been noted in other studies, this is the first time that they have been incorporated into a detailed model. This model allows detailed evaluation of the impact of potential efficiency standards for water heaters and other market transformation policies. 21 refs., 3 figs., 10 tabs.

  6. Modeling patterns of hot water use in households

    SciTech Connect (OSTI)

    Lutz, James D.; Liu, Xiaomin; McMahon, James E.; Dunham, Camilla; Shown, Leslie J.; McCure, Quandra T.

    1996-01-01

    This report presents a detailed model of hot water use patterns in individual households. The model improves upon an existing model by including the effects of four conditions that were previously unaccounted for: the absence of a clothes washer; the absence of a dishwasher; a household consisting of seniors only; and a household that does not pay for its own hot water use. Although these four conditions can significantly affect residential hot water use, and have been noted in other studies, this is the first time that they have been incorporated into a detailed model. This model allows detailed evaluation of the impact of potential efficiency standards for water heaters and other market transformation policies.

  7. Logistic regression models for predicting trip reporting accuracy in GPS-enhanced household travel surveys 

    E-Print Network [OSTI]

    Forrest, Timothy Lee

    2007-04-25

    This thesis presents a methodology for conducting logistic regression modeling of trip and household information obtained from household travel surveys and vehicle trip information obtained from global positioning systems (GPS) to better understand...

  8. Fact #618: April 12, 2010 Vehicles per Household and Other Demographic Statistics

    Broader source: Energy.gov [DOE]

    Since 1969, the number of vehicles per household has increased by 66% and the number of vehicles per licensed driver has increased by 47%. The number of workers per household has changed the least...

  9. Fact #729: May 28, 2012 Secondary Household Vehicles Travel Fewer Miles

    Broader source: Energy.gov [DOE]

    When a household has more than one vehicle, the secondary vehicles travel fewer miles than the primary vehicle. In a two-vehicle household, the second vehicle travels less than half of the miles...

  10. Using Multiple Household Food Inventories to Measure Food Availability in the Home 

    E-Print Network [OSTI]

    Sisk, Cheree L.

    2010-10-12

    The purpose of this study was to determine the feasibility of conducting multiple household food inventories over the course of 30 days to examine weekly food variability. Household food availability influences the foods ...

  11. Fact #747: October 1, 2012 Behind Housing, Transportation is the Top Household Expenditure

    Broader source: Energy.gov [DOE]

    Except for housing, transportation was the largest single expenditure for the average American household in 2010. The average household spends more on transportation in a year than on food. Vehicle...

  12. Fact #727: May 14, 2012 Nearly Twenty Percent of Households Own Three or More Vehicles

    Broader source: Energy.gov [DOE]

    Household vehicle ownership has changed over the last six decades. In 1960, over twenty percent of households did not own a vehicle, but by 2010, that number fell to less than 10%. The number of...

  13. Better Buildings Low Income Peer Exchange CallFeaturing: Case...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    14, 2011 BetterBuildings Low Income Peer Exchange Call Featuring: Case study on integration of income-qualified programs into Michigan's BetterBuildings program Call Slides and...

  14. Life in low income families in Scotland: research report 

    E-Print Network [OSTI]

    McKendrick, John H; Cunningham-Burley, Sarah; Backett-Milburn, Kathryn

    Living on a low income is a problem that the Scottish Executive and UK Parliament want to tackle. Previous work has focused on measuring the number of people living on a low income. This research was commissioned to ...

  15. EmPOWER Maryland Low Income Energy Efficiency Program

    Office of Energy Efficiency and Renewable Energy (EERE)

    The Maryland Department of Housing and Community Development (DHCD) EmPOWER Maryland Low Income Energy Efficiency Program helps qualifying low-income residents increase the energy efficiency of t...

  16. NONPARAMETRIC REGRESSION ESTIMATION OF HOUSEHOLD VMT Young-Jun Kweon

    E-Print Network [OSTI]

    Kockelman, Kara M.

    NONPARAMETRIC REGRESSION ESTIMATION OF HOUSEHOLD VMT Young-Jun Kweon (Corresponding Author Transportation Survey. The results are density functions and regression surfaces for VMT, in relation regressions perform better than their ordinary-least squares counterparts in many ways: they permit full

  17. Household scale slow sand filtration in the Dominican Republic

    E-Print Network [OSTI]

    Donison, Kori S. (Kori Shay), 1981-

    2004-01-01

    Slow sand filtration is a method of water treatment that has been used for hundreds of years. In the past two decades, there has been resurgence in interest in slow sand filtration, particularly as a low-cost, household-scale ...

  18. Compatibility Between GFCI Breakers and Household Adjustable Speed Drives

    E-Print Network [OSTI]

    Kimball, Jonathan W.

    Compatibility Between GFCI Breakers and Household Adjustable Speed Drives Jonathan Kimball Senior circuit interrupter (GFCI) compatibility becomes crucial. As compared to industrial applications, the GFCI response of a commonly-used GFCI breaker is compared to the common-mode current of a commercially

  19. Testing Electric Vehicle Demand in "Hybrid Households" Using a Reflexive Survey

    E-Print Network [OSTI]

    Kurani, Kenneth S.; Turrentine, Thomas; Sperling, Daniel

    2001-01-01

    icVehicle (REV) s s (NGV) Reformulated Gasoline Vehicle (Among households that chose an NGV, chose to purchase the

  20. 10Tips to Spend Less on Household Goods Spend about $20 on a battery

    E-Print Network [OSTI]

    Tullos, Desiree

    and dishwasher. 3 You can use white distilled vinegar or baking soda for many household cleaning jobs. Read

  1. Income Inequality and Mortality: The Costa RIcan Case

    E-Print Network [OSTI]

    Modrek, Sepideh

    2009-01-01

    44-49). San Francisco Kuznets, S. (1955). Economic Growthin income inequality (Kuznets, 1955), but benefits from this

  2. Better Buildings Residential Multifamily/Low-Income Peer Exchange...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    6 Data & Evaluation Financing & Revenue Marketing & Outreach Multi-Family Low Income Housing Program Sustainability Workforce Business Partners...

  3. Universal Laws of Human Society's Income Distribution

    E-Print Network [OSTI]

    Tao, Yong

    2015-01-01

    General equilibrium equations in economics play the same role with many-body Newtonian equations in physics. Accordingly, each solution of the general equilibrium equations can be regarded as a possible microstate of the economic system. Since Arrow's Impossibility Theorem and Rawls' principle of social fairness will provide a powerful support for the hypothesis of equal probability, then the principle of maximum entropy is available in a just and equilibrium economy so that an income distribution will occur spontaneously (with the largest probability). Remarkably, some scholars have observed such an income distribution in some democratic countries, e.g. USA. This result implies that the hypothesis of equal probability may be only suitable for some "fair" systems (economic or physical systems). From this meaning, the non-equilibrium systems may be "unfair" so that the hypothesis of equal probability is unavailable.

  4. U.S. Natural Gas Gross Withdrawals and Production

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (BillionProved Reserves (Billion Cubic Feet)EstimatedWells (ThousandYear Jan Feb MarGross

  5. West Virginia Natural Gas Gross Withdrawals and Production

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (BillionProved Reserves (Billion CubicBarrels)GrossYear Jan FebProvedof Others

  6. Texas Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan3 November18.5 385.5 47,187.8Year Jan0 0 0 81Year JanGross

  7. Wyoming Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion CubicEnergy Markets 24,Presented To:8, 2012 AlabamaE. GreatWhat3) MonthlyGross

  8. Nebraska Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Marthrough 1996) in155 13,348 47,873165,3600 14 21Gross

  9. New York Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Marthrough 1996)Price780 922SeparationGrossAlaska Arkansas

  10. Oklahoma Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan FebCubic Feet) Year Jan FebAdjustmentsSales0 0 0 0 0Gross

  11. Oregon Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan FebCubic Feet) YearYear Jan Feb Mar Apr2009Gross Withdrawals

  12. Pennsylvania Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan FebCubic Feet) Annual DownloadMay-15 Jun-15Year JanCubicGross

  13. Louisiana Natural Gas Gross Withdrawals Total Offshore (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33Cubic Foot) DecadeDecadeGross

  14. Louisiana--State Offshore Natural Gas Gross Withdrawals (Million Cubic

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number(Million(MillionProvedFeet) Gross

  15. Louisiana--onshore Natural Gas Gross Withdrawals (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential ConsumersProduction (Million Barrels)Gross Withdrawals

  16. Alabama--onshore Natural Gas Gross Withdrawals (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal Consumers4.32 4.46 1967-2010Year Jan0.8 0.9CubicGross

  17. Alaska Natural Gas Gross Withdrawals Total Offshore (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal Consumers4.32 4.46ProductionCrude% ofGross

  18. Alaska Natural Gas Gross Withdrawals from Coalbed Wells (Million Cubic

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal Consumers4.32 4.46ProductionCrude% ofGrossFeet)

  19. Alaska--onshore Natural Gas Gross Withdrawals (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal Consumers4.32Elements)Gross Withdrawals (Million

  20. Texas--onshore Natural Gas Gross Withdrawals (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0Proved Reserves (BillionProduction(MillionGross Withdrawals (Million

  1. U.S. Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0Proved ReservesData2009 2010 2011 2012Feet)Gross WithdrawalsU.S.

  2. U.S. Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0Proved ReservesData2009 2010 2011 2012Feet)Gross

  3. Kansas Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYearYearDecade Year-0163 258SalesNA 11,903Gross

  4. Mississippi Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012DecadeTotal19 1522 35 42 44Gross Withdrawals

  5. Mississippi Natural Gas Gross Withdrawals from Coalbed Wells (Million Cubic

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012DecadeTotal19 1522 35 42 44GrossFeet) Decade

  6. Mississippi Natural Gas Gross Withdrawals from Coalbed Wells (Million Cubic

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012DecadeTotal19 1522 35 42 44GrossFeet)

  7. Mississippi Natural Gas Gross Withdrawals from Gas Wells (Million Cubic

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012DecadeTotal19 1522 35 42 44GrossFeet)Feet)

  8. Montana Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012DecadeTotal19FuelYear5) Model372009 201034Gross

  9. Pennsylvania Natural Gas Gross Withdrawals (Million Cubic Feet)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass mapSpeeding access| DepartmentPeer Review Policies Basic Energy SciencesGross

  10. Property:GrossProdCapacity | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to: navigation,PropertyPartner7Website Jump to:TypeGrossProdCapacity Jump to:

  11. Tennessee Natural Gas Gross Withdrawals (Million Cubic Feet)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking With U.S. CoalMexicoConference Tight Oil1 Soil WaterFeet)Gross

  12. Texas Natural Gas Gross Withdrawals (Million Cubic Feet)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking With U.S. CoalMexicoConference Tight09/2011aPhysicsFeet)Gross

  13. Utah Natural Gas Gross Withdrawals (Million Cubic Feet)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking WithTelecentric viewing system for light| Department 2Gross

  14. Virginia Natural Gas Gross Withdrawals (Million Cubic Feet)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking WithTelecentricN A CountyFeet) Deliveries to Electric PowerGross

  15. Wyoming Natural Gas Gross Withdrawals (Million Cubic Feet)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifies largest single gold crystal World'sFoot)Gross

  16. Indiana Natural Gas Gross Withdrawals (Million Cubic Feet)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACT EVALUATION PLAN FOR THE SITE-218in aradsafe/files linkGross Withdrawals

  17. Kansas Natural Gas Gross Withdrawals (Million Cubic Feet)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACT EVALUATIONIntroducingJobs2015Administration| NationalFoot)Gross

  18. Kentucky Natural Gas Gross Withdrawals (Million Cubic Feet)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousand Cubic Feet) SoldDepartment ofKen T. VenutoFoot)Gross

  19. Florida Natural Gas Gross Withdrawals (Million Cubic Feet)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (Journal Article) |Final ReporttheHouseNewFlippingGross Withdrawals (Million

  20. Louisiana Natural Gas Gross Withdrawals (Million Cubic Feet)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousand CubicResourcelogoFeet) Deliveries to Electric PowerGross

  1. A Study of Individual Household Water Consumption Borg, Edwards, Kimpel A Study of Individual Household Water Consumption

    E-Print Network [OSTI]

    Pasternack, Gregory B.

    's goal is to investigate the weekly per capita indoor water use of three households in Davis, California will be evaluated for efficacy (water savings) and cost (excluding variable installation costs). The cost, and the nation in order to determine what are the most cost efficient ways in which to increase water

  2. Inter-provincial Permanent and Temporary Migration in China

    E-Print Network [OSTI]

    Sun, Mingjie

    2011-01-01

    a family strategy to maximize household income and minimizea family strategy to maximize household income and minimizea family strategy to maximize household income and minimize

  3. The potential of carbonyl sulfide as a proxy for gross primary production at flux tower sites

    E-Print Network [OSTI]

    Minnesota, University of

    The potential of carbonyl sulfide as a proxy for gross primary production at flux tower sites J. M August 2011; published 15 November 2011. [1] Seasonal dynamics of atmospheric carbonyl sulfide (OCS of carbonyl sulfide as a proxy for gross primary production at flux tower sites, J. Geophys. Res., 116, G04019

  4. Migration and Income Diversification Evidence from Burkina Faso

    E-Print Network [OSTI]

    Wouterse, Fleur; Taylor, J. Edward

    2006-01-01

    rural households in Southern Mali. Food Policy, 26, 437-452.and CroleRees for rural Mali (Abdulai & CroleRees, 2001).non-farm activities for rural Mali (2001). No significant

  5. Gross national happiness as a framework for health impact assessment

    SciTech Connect (OSTI)

    Pennock, Michael; Ura, Karma

    2011-01-15

    The incorporation of population health concepts and health determinants into Health Impact Assessments has created a number of challenges. The need for intersectoral collaboration has increased; the meaning of 'health' has become less clear; and the distinctions between health impacts, environmental impacts, social impacts and economic impacts have become increasingly blurred. The Bhutanese concept of Gross National Happiness may address these issues by providing an over-arching evidence-based framework which incorporates health, social, environmental and economic contributors as well as a number of other key contributors to wellbeing such as culture and governance. It has the potential to foster intersectoral collaboration by incorporating a more limited definition of health which places the health sector as one of a number of contributors to wellbeing. It also allows for the examination of the opportunity costs of health investments on wellbeing, is consistent with whole-of-government approaches to public policy and emerging models of social progress.

  6. Better Buildings Neighborhood Program, BetterBuildings Low Income...

    Energy Savers [EERE]

    Messaging and Messaging Strategies for Low Income Program Participants Agenda * Call logistics and Roll Call * Discussion Questions: What messaging have you found successful...

  7. Better Buildings Neighborhood Program Multi-Family and Low Income...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Multi-Family and Low Income Peer Exchange Call: Using Partnerships to Drive Demand and Provide Services in Communities Agenda * Call Logistics and Attendance What kind of...

  8. Better Buildings Neighborhood Program Multi-family/ Low Income...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Program Multi-family Low Income Peer Exchange Call: Information Technology Tools for Multi-family Building Programs Call Slides and Discussion Summary Agenda * Call...

  9. The Denver Energy Challenge-- Serving Moderate Income Residents

    Broader source: Energy.gov [DOE]

    Provides an overview of the Denver Energy Challenge and how services were expanded to moderate income residents including challenges and next steps.

  10. Effective Energy Behavior Change for Low-Income Weatherization Clients

    Office of Energy Efficiency and Renewable Energy (EERE)

    This document contains the transcript for the Effective Energy Behavior Change for Low-Income Weatherization Clients webinar presented on May 31, 2012.

  11. A Study of Income Segregation in Large Chinese Cities

    E-Print Network [OSTI]

    Zhu, Jiren

    2013-01-01

    Harbin Changchun Nanjing Dalian Jinan Qingdao Taiyuangroups. Like Beijing and Dalian, their segregation profilesis remarkably lower than Dalian‘s level from low-income

  12. Three: Should California Adopt an Earned Income Tax Credit?

    E-Print Network [OSTI]

    Stark, Kirk J

    2006-01-01

    EARNED INCOME TAX CREDIT? Kirk J. Stark, Professor of Law,years. On this strategy, see Kirk J. Stark, Smart Tax Laws

  13. Measurement and Verification of Low Income Energy Efficiency...

    Open Energy Info (EERE)

    Measurement and Verification of Low Income Energy Efficiency Programs in Brazil: Methodological Challenges Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Measurement...

  14. Approaches to Electric Utility Energy Efficiency for Low Income...

    Open Energy Info (EERE)

    Approaches to Electric Utility Energy Efficiency for Low Income Customers in a Changing Regulatory Environment Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Approaches...

  15. Form EIA-457E (2001) -- Household Bottled Gas Usage

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural GasEIA lowers 2015ValuesE (2001) - Household

  16. Form EIA-457E (2001) -- Household Bottled Gas Usage

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural GasEIA lowers 2015ValuesE (2001) - HouseholdF

  17. Form EIA-457E (2001) -- Household Bottled Gas Usage

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural GasEIA lowers 2015ValuesE (2001) - HouseholdFG

  18. Household heating bills expected to be lower this winter

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural GasEIA lowerslong4,Guide toHigh oilHousehold

  19. Rethinking Downstream Regulation: California's Opportunity to Engage Households in Reducing Greenhouse Gases

    E-Print Network [OSTI]

    2008-01-01

    households in reducing greenhouse gases. Energy Policy (Tradable Permits for Greenhouse Gas Emissions: a Primer WithEIA, 2006a. Emissions of Greenhouse Gases in the United

  20. HOUSEHOLD AND STRUCTURAL INSECTS Effect of Trap Design, Chemical Lure, Carbon Dioxide Release Rate,

    E-Print Network [OSTI]

    Wang, Changlu

    HOUSEHOLD AND STRUCTURAL INSECTS Effect of Trap Design, Chemical Lure, Carbon Dioxide Release Rate passive monitor available in the market for bed bugs

  1. Rethinking Downstream Regulation: California's Opportunity to Engage Households in Reducing Greenhouse Gases

    E-Print Network [OSTI]

    2008-01-01

    for reducing carbon dioxide emissions from UK household2002. Estimating Carbon Dioxide Emissions Factors for the2002). Estimating Carbon Dioxide Emissions Factors for the

  2. The Other Energy Crisis: Managing Urban Household Energy Use in Senegal

    E-Print Network [OSTI]

    Leitmann, Josef

    1989-01-01

    TH E OTHER ENERGY CRISIS: Managing Urban Household Energyimpact of this other energy crisis, the case of Senegal ingrowth and stability -- the energy crisis. With increasingly

  3. Essays on Price Dynamics, Welfare Analysis, Household Food Insecurity in Mexico 

    E-Print Network [OSTI]

    Magana Lemus, David

    2013-09-20

    Higher and more volatile food prices, as reported in recent years, have consequences on household welfare and potentially on public policy. Analysis of agricultural commodities price dynamics, welfare ...

  4. Incentives & Nutrition For Rotten Kids: The Quantity & Quality Of Food Allocated Within Philippine Households

    E-Print Network [OSTI]

    Dubois, Pierre; Ligon, Ethan

    2012-01-01

    rural poor: a study of Philippine farm households. Boulder:and food allocation in the Philippines. Unpublished Manu-planning in the rural Philippines. Journal of Southeast

  5. Exact Measures of Income in a Hyperbolic Economy

    E-Print Network [OSTI]

    Pezzey, Jack

    Exact Measures of Income in a Hyperbolic Economy JOHN PEZZEY EEN0203 #12;Exact Measures of Income in a Hyperbolic Economy John C. V. Pezzey Centre for Resource and Environmental Studies Australian National.K. Draft of 23 January 2002 Abstract. Exact optimal paths are calculated for a closed economy with human

  6. UNIVERSITY OF UTAH INCOME ACCOUNTING & STUDENT LOAN SERVICES

    E-Print Network [OSTI]

    UNIVERSITY OF UTAH INCOME ACCOUNTING & STUDENT LOAN SERVICES 201 SOUTH 1460 EAST, ROOM 165 SALT FOR PREAUTHORIZED LOAN PAYMENTS I hereby authorize the University of Utah's Income Accounting & Student Loan the same to the financial institution and account listed below, for loan payments

  7. UNIVERSITY OF UTAH INCOME ACCOUNTING & STUDENT LOAN SERVICES

    E-Print Network [OSTI]

    UNIVERSITY OF UTAH INCOME ACCOUNTING & STUDENT LOAN SERVICES 201 SOUTH 1460 EAST, ROOM 165 TELEPHONE: 581-7344 FAX: 585-3898 AUTHORIZATION AGREEMENT FOR DIRECT DEPOSIT OF STUDENT ACCOUNT CREDIT I hereby authorize the University of Utah's Income Accounting & Student Loan Services Department

  8. Low-Dimensional Stochastic Projected Gross-Pitaevskii Equation

    E-Print Network [OSTI]

    Bradley, A S; McDonald, R G

    2015-01-01

    We present reduced-dimensional stochastic projected Gross-Pitaevskii equations describing regimes of confinement and temperature where a 1D or 2D superfluid is immersed in a 3D thermal cloud. The projection formalism provides both a formally rigorous and physically natural way to effect the dimensional reduction. The 3D form of the number-damping (growth) terms is unchanged by the dimensional reduction. Projection of the energy-damping (scattering) terms leads to modified stochastic equations of motion describing energy exchange with the thermal reservoir. The regime of validity of the dimensional reduction is investigated via variational analysis. Paying particular attention to 1D, we validate our variational treatment by comparing numerical simulations of a trapped oblate system in 3D with the 1D theory, and establish a consistent choice of cutoff for the 1D theory. We briefly discuss the scenario involving two-components with different degeneracy, suggesting that a wider regime of validity exists for syste...

  9. Basic Services, Low-Income Settlements and the Local State: How Collectively-Organized Initiatives Redress Inequalities

    E-Print Network [OSTI]

    Pierce, Gregory Scott

    2015-01-01

    is clear that few households remain passive or loyal in theI find that few households remain passive or loyal in the

  10. Fact #564: March 30, 2009 Transportation and the Gross Domestic Product, 2007

    Broader source: Energy.gov [DOE]

    Transportation plays a major role in the U.S. economy. About 10% of the U.S. Gross Domestic Product (GDP) in 2007 is related to transportation. Housing, health care, and food are the only...

  11. Beyond the Gross-Pitaevskii Equation: Ground State and Low Energy Excitations for Trapped Bosons

    E-Print Network [OSTI]

    A. Polls; A. Fabrocini

    2000-11-09

    The results of a modified Gross-Pitaevskii equation for a system of Bose hard spheres trapped in a spherical harmonic potential are analyzed to study the validity regime of the standard GP equation.

  12. Fact #621: May 3, 2010 Gross Vehicle Weight vs. Empty Vehicle Weight

    Broader source: Energy.gov [DOE]

    The gross weight of a vehicle (GVW) is the weight of the empty vehicle plus the weight of the maximum payload that the vehicle was designed to carry. In cars and small light trucks, the difference...

  13. A Foreword for: Fearless Symmetry: Exposing the Hidden Patterns of Numbers by Avner Ash & Robert Gross

    E-Print Network [OSTI]

    Mazur, Barry

    A Foreword for: Fearless Symmetry: Exposing the Hidden Patterns of Numbers by Avner Ash & Robert that is being explained. Avner Ash and Robert Gross do a wonderful job at this balancing act in Fearless

  14. A household carbon footprint calculator for islands: Case study of the United States Virgin Islands

    E-Print Network [OSTI]

    Kammen, Daniel M.

    Survey A household carbon footprint calculator for islands: Case study of the United States Virgin xxxx Keywords: Carbon footprint Green house gas emissions Small Island Developing States Island regions the carbon footprint of typical households within the US Virgin Islands. We find the average carbon footprint

  15. NBER WORKING PAPER SERIES HOUSEHOLD RESPONSE TO THE 2008 TAX REBATE

    E-Print Network [OSTI]

    Cafarella, Michael J.

    NBER WORKING PAPER SERIES HOUSEHOLD RESPONSE TO THE 2008 TAX REBATE: SURVEY EVIDENCE AND AGGREGATE, including © notice, is given to the source. #12;Household Response to the 2008 Tax Rebate: Survey Evidence/University of Michigan survey report that the 2008 tax rebates led them to mostly increase spending, while over half said

  16. ORIGINAL PAPER Long-term dynamics of household size and their

    E-Print Network [OSTI]

    Langerhans, Brian

    impact Á Household size Á IPHoG Á Population Á Sustainable development Introduction The impacts of human the impacts of increased housing present a threat to sustainability even when population growth slows. Future research addressing environmental impacts of declining household size could use an adapted IPAT model, I

  17. Environmental and Resource Economics Household Energy Demand in Urban China: Accounting for regional prices and rapid

    E-Print Network [OSTI]

    growth, China's energy consumption is rising at one of the fastest rates in the world, almost 8% per year, in particular, household electricity use rose by 12.6% per year, and natural gas by 19.5% in the last decade1Environmental and Resource Economics Household Energy Demand in Urban China: Accounting

  18. Frequency and longitudinal trends of household care product use Rebecca E. Moran a

    E-Print Network [OSTI]

    Leistikow, Bruce N.

    SUPERB Indoor environment d-limonene a b s t r a c t The use of household cleaning products and air infiltrating to the indoor environment to form potentially toxic secondary pollutants. Although realistic, frequencies of use of eight types of household cleaning products and air fresheners and the performance

  19. Edinburgh Research Explorer Influencing household energy practices: a critical review of UK

    E-Print Network [OSTI]

    Edinburgh, University of

    Edinburgh Research Explorer Influencing household energy practices: a critical review of UK smart & Webb, J 2014, 'Influencing household energy practices: a critical review of UK smart metering standards Commons Attribution License (http://creativecommons.org/ licenses/by/3.0), which permits unrestricted use

  20. A 3D Interface for Selecting Household Paint Colors Seth Berrier, Gary Meyer and Danny Rado

    E-Print Network [OSTI]

    Meyer, Gary

    A 3D Interface for Selecting Household Paint Colors Seth Berrier, Gary Meyer and Danny Rado Digital Abstract Commercially available tools for searching collections of paint colors are critically examined and a new computer interface for selecting household paint colors is proposed. The new system is organized

  1. Passive sampling methods to determine household and personal care product use

    E-Print Network [OSTI]

    Leistikow, Bruce N.

    Passive sampling methods to determine household and personal care product use DEBORAH H. BENNETTa, cleaning products, passive sampling, SUPERB, longitudinal. Introduction Personal care and household care products, such as cleaning products and pesticides, are frequently used in most house- holds although

  2. The Effect of the Foreclosure Crisis on Health

    E-Print Network [OSTI]

    Downing, Janelle

    2015-01-01

    risk of common mental illness. British Household Panel Survey Housing repossession Household, Income and Labour

  3. Household- and Market-Level Perspectives on the Peter Pan Peanut Butter Recall Using Nielsen Homescan Panel Data 

    E-Print Network [OSTI]

    Bakhtavoryan, Rafael

    2012-02-14

    Using household level scanner data for 2006, 2007, and 2008, this dissertation consists of four studies, which present household- and market-level analyses of food safety issues concerning the 2007 Peter Pan recall on the ...

  4. Modeling household adoption of earthquake hazard adjustments: a longitudinal panel study of Southern California and Western Washington residents 

    E-Print Network [OSTI]

    Arlikatti, Sudha S

    2006-10-30

    This research, aimed at advancing the theory of environmental hazard adjustment processes by contrasting households from three cities in a high seismic hazard area with households from three other cities in a moderate seismic hazard area...

  5. Oil Prices, External Income, and Growth: Lessons from Jordan

    E-Print Network [OSTI]

    Mohaddes, Kamiar; Raissi, Mehdi

    2011-12-08

    This paper extends the long-run growth model of Esfahani et al. (2009) to a labour exporting country that receives large inflows of external income - the sum of remittances, FDI and general government transfers - from major oil exporting economies...

  6. Wind Development Found to Increase County-Level Personal Income...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Personal Income January 10, 2013 - 2:21pm Addthis This is an excerpt from the Fourth Quarter 2012 edition of the Wind Program R&D Newsletter. The U.S. Department of...

  7. Top Incomes in the Long Run of History

    E-Print Network [OSTI]

    Atkinson, Anthony B.; Piketty, Thomas; Saez, Emmanuel

    2012-01-01

    in top income shares in Finland,” Atkinson, A. B. and T.Singapore Argentina Sweden Finland Norway Share of top 0.1U/L-shaped),1900- 2006 Sweden Finland Norway Spain Portugal

  8. Low Impact, Affordable, Low Income Houses for Mexico 

    E-Print Network [OSTI]

    Alcocer, J. L. B.; Haberl, J. S.

    2010-01-01

    This paper discusses an effort to develop low impact, affordable, low income houses for Mexico. Low impact houses are defined as houses with energy and water needs that are substantially reduced below levels corresponding to code compliance...

  9. The Farmer's Conundrum: Income from Biofuels or Protect the Soil?

    Broader source: Energy.gov [DOE]

    Selling crop residues for bioenergy could provide farmers with an extra source of income, but leaving some residue on the fields has benefits too. So how can land managers find this balance?

  10. Three: Should California Adopt an Earned Income Tax Credit?

    E-Print Network [OSTI]

    Stark, Kirk J

    2006-01-01

    which depends upon the taxpayer’s earned income. 15 In itson how many children the taxpayer has. In addition, the EITCof credit to which a taxpayer is entitled can vary widely,

  11. Political competition and Mirrleesian income taxation: A first pass

    E-Print Network [OSTI]

    Bierbrauer, Felix J.; Boyer, Pierre C.

    2011-01-26

    - rium characterization tractable. Section 5 contains the results of the equilibrium analysis and Section 6 outlines the implications for marginal income tax rates. In Section 7, we show how the results change if politicians maximize winning probabilities... and Weibull (1987). Martimort (2001) studies strategic budget deficits and optimal taxation in a model with partisan politics. 6 could think of: an analysis of Downsian competition in a static Mirrleesian model of income taxation. Finally, our paper is related...

  12. Energy use by households in a rural area of the Philippines

    SciTech Connect (OSTI)

    Yust, B.L.

    1986-01-01

    The relationship between fuels used by households in a rural region of Leyte Province, the Philippines, and the variables that can affect the type and amount of fuel used were examined. Data were drawn from interviews conducted in a previous study with 150 female heads of households from 10 villages near Baybay, Leyte. Within a family-ecosystem framework, a multiple regression model was developed to identify predictors of fuel use in the households. Inputs to the system included the following independent variables representing aspects of household environments; (1) natural--geographic location of the village, (2) technical--cook stove and equipment ownership, (3) economic--distance to fuel sources and number of hectares of land owned, and (4) cultural-cooking fuel preference. Two regression equations were developed. The first used as the dependent variable the number of units of each of four specific fuels used in the household in one week: wood, coconut fronds, and coconut shells, and coconut husks with shells. The second used as the dependent variable an aggregate measure, barrel oil equivalent (boe), of the quantity of all fuels used in the household in one week. The households in this study were primarily dependent on biomass fuels gathered by family members; a limited quantity of commercial fuels was used.

  13. New York City Cabdrivers' Labor Supply Revisited: Reference-Dependence Preferences with Rational-Expectations Targets for Hours and Income

    E-Print Network [OSTI]

    Crawford, Vincent P.; Meng, Juanjuan

    2008-01-01

    the hours and income that would maximize consumption utilitythe income and hours that would maximize consumption utility

  14. Deriving a light use efficiency model from eddy covariance flux data for predicting daily gross primary production across biomes

    E-Print Network [OSTI]

    2007-01-01

    biome comparison of daily light-use efficiency for grossNPP): analysis of differences in light absorptionand light-use efficiency. Global Change Biol. 5, Ruimy, A. ,

  15. " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price to fall to $3.43U.S.longec 188 U.S.1 Home Electronics Characteristics21

  16. " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price to fall to $3.43U.S.longec 188 U.S.1 Home Electronics2 Living Space2

  17. " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price to fall to $3.43U.S.longec 188 U.S.1 Home Electronics271 Home Housing

  18. " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price to fall to $3.43U.S.longec 188 U.S.1 Home Electronics271 Home Housing3

  19. " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price to fall to $3.43U.S.longec 188 U.S.1 Home Electronics271 Home Housing34

  20. " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price to fall to $3.43U.S.longec 188 U.S.1 Home Electronics271 Home

  1. " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price to fall to $3.43U.S.longec 188 U.S.1 Home Electronics271 Home7

  2. " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price to fall to $3.43U.S.longec 188 U.S.1 Home Electronics271 Home7HC7.9

  3. " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price to fall to $3.43U.S.longec 188 U.S.1 Home Electronics2713 Lighting23323

  4. " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price to fall to $3.43U.S.longec 188 U.S.1 Home Electronics2713539

  5. The relationship between incomes and age of heads of households viewed locally as being in poverty in a twelve-county area of Texas 

    E-Print Network [OSTI]

    Martin, Marsha Pyle

    1970-01-01

    !. t t'!aL p?op e !iu!en;lured foc any lenr ti! of t Lee terd to sir!k;;; nnstby. Tnei: v; . k his+cry rsay have 'nec. . n one of failure, s . d, if' they a e very young! allv asrirat. 'ons they possess . : o- higr!er a hi, vcr"errt so . n s...

  6. Spreading the wealth: The effect of the distribution of income and race/ethnicity across households and neighborhoods on city crime trajectories

    E-Print Network [OSTI]

    Hipp, John R

    2011-01-01

    Kenneth A. and Patrick J. Curran. 2006. Latent Curve Models:Daniel J. Bauer, Patrick J. Curran, and Kenneth A. Bollen.results (Hipp, Bauer, Curran, and Bollen, 2004). A series of

  7. Correlation between Median Household Income and LEED Sustainable Site Criteria for Public Transportation Access and a Regression Model Predicting Appraised Unit Value of Unimproved Parcels in Houston, Texas 

    E-Print Network [OSTI]

    Ji, Qundi

    2010-07-14

    The Leadership in Energy and Environmental Design (LEED) Green Building Rating System provides third-party verification for environmentally sustainable construction. LEED certified buildings often provide healthier work ...

  8. Determinants of SNAP Participation: Employing a Structural Vulnerability of Poverty Framework to Examine SNAP Participation Among Low-Income Heads of Households

    E-Print Network [OSTI]

    Rosen, Gina L

    2015-01-01

    2008). Justifying inequality: A social psychologicalEffect of unions on wage inequality in the us labor market,Union decline and rising inequality in two charts. Gordon. (

  9. Hepatitis B Sero-Prevalence and Risk Behaviors Among Immigrant Men in a Population-Based Household Survey in Low-Income Neighborhoods of Northern California

    E-Print Network [OSTI]

    2010-01-01

    control of infections with hepatitis virus in correctionalL, Schmid G, et al. Hepatitis B vaccination in sexuallyReferences 1. Lee WM. Hepatitis B virus infection. The New

  10. Laboratory Testing of Demand-Response Enabled Household Appliances

    SciTech Connect (OSTI)

    Sparn, B.; Jin, X.; Earle, L.

    2013-10-01

    With the advent of the Advanced Metering Infrastructure (AMI) systems capable of two-way communications between the utility's grid and the building, there has been significant effort in the Automated Home Energy Management (AHEM) industry to develop capabilities that allow residential building systems to respond to utility demand events by temporarily reducing their electricity usage. Major appliance manufacturers are following suit by developing Home Area Network (HAN)-tied appliance suites that can take signals from the home's 'smart meter,' a.k.a. AMI meter, and adjust their run cycles accordingly. There are numerous strategies that can be employed by household appliances to respond to demand-side management opportunities, and they could result in substantial reductions in electricity bills for the residents depending on the pricing structures used by the utilities to incent these types of responses. The first step to quantifying these end effects is to test these systems and their responses in simulated demand-response (DR) conditions while monitoring energy use and overall system performance.

  11. Laboratory Testing of Demand-Response Enabled Household Appliances

    SciTech Connect (OSTI)

    Sparn, B.; Jin, X.; Earle, L.

    2013-10-01

    With the advent of the Advanced Metering Infrastructure (AMI) systems capable of two-way communications between the utility's grid and the building, there has been significant effort in the Automated Home Energy Management (AHEM) industry to develop capabilities that allow residential building systems to respond to utility demand events by temporarily reducing their electricity usage. Major appliance manufacturers are following suit by developing Home Area Network (HAN)-tied appliance suites that can take signals from the home's 'smart meter,' a.k.a. AMI meter, and adjust their run cycles accordingly. There are numerous strategies that can be employed by household appliances to respond to demand-side management opportunities, and they could result in substantial reductions in electricity bills for the residents depending on the pricing structures used by the utilities to incent these types of responses.The first step to quantifying these end effects is to test these systems and their responses in simulated demand-response (DR) conditions while monitoring energy use and overall system performance.

  12. On the periphery of the periphery: household archaeology at Hacienda Tabi, Yucatan, Mexico 

    E-Print Network [OSTI]

    Sweitz, Samuel Randles

    2006-10-30

    The archaeological remains at Hacienda Tabi provide an opportunity to study the effects of large-scale societal changes on the lives of the Maya who worked on the hacienda. The households, represented by the ruins of the ...

  13. Testing Electric Vehicle Demand in `Hybrid Households' Using a Reflexive Survey

    E-Print Network [OSTI]

    Kurani, Kenneth; Turrentine, Thomas; Sperling, Daniel

    1996-01-01

    o f Batteries for Electric Vehicles: A Report of the BatteryR. (1993) Report of the Electric Vehicle At-Home Refueling1994) Demand for Electric Vehicles in Hybrid Households: A n

  14. Monitoring effective use of household water treatment and safe storage technologies in Ethiopia and Ghana

    E-Print Network [OSTI]

    Stevenson, Matthew M

    2009-01-01

    Household water treatment and storage (HWTS) technologies dissemination is beginning to scale-up to reach the almost 900 million people without access to an improved water supply (WHO/UNICEF/JMP, 2008). Without well-informed ...

  15. Aalborg Universitet Design and Control of Household CHP Fuel Cell System

    E-Print Network [OSTI]

    Berning, Torsten

    for micro combined heat and power (CHP) systems for local households. Several components in the PEM fuel, takes into account fuel processor components such as steam reformer, heat exchangers and water gas shift

  16. How Do You Encourage Everyone in Your Household to Save Energy?

    Broader source: Energy.gov [DOE]

    Anyone who has decided to save energy at home knows that the entire household needs to be involved if you really want to see savings. Some people—be they roommates, spouses, children, or maybe even...

  17. Fact #748: October 8, 2012 Components of Household Expenditures on Transportation, 1984-2010

    Broader source: Energy.gov [DOE]

    The overall share of annual household expenditures for transportation was lower in 2010 than it was in 1984, reaching its lowest point in 2009 at 15.5%. In the early to mid-1980s when oil prices...

  18. Household Segmentation in Food Insecurity and Soil Improving Practices in Ghana 

    E-Print Network [OSTI]

    Nata, Jifar T

    2013-08-09

    There is a persistent problem of poor agricultural production which leads to household food insecurity problems for farmers in Ghana. Studies show that the adoption of improved agricultural practices and technology may help stabilize production...

  19. TEX-A-SYST: Reducing the Risk of Ground Water Contamination by Improving Household Wastewater Treatment 

    E-Print Network [OSTI]

    Harris, Bill L.; Hoffman, D.; Mazac Jr., F. J.

    1997-08-29

    Household wastewater treatment systems (septic systems) can contaminate ground water unless they are properly designed, constructed and maintained. This publication describes various kinds of systems and guides the homeowner in assessing...

  20. A theoretical and simulation-based examination of household vehicle choice through an adoption perspective

    E-Print Network [OSTI]

    Liu, Jenny Hsing-I

    2010-01-01

    vehicles of varying sizes using conven- tional or alternative energyenergy efficiency, the introduction of alternative fuel vehiclesalternatives due to higher environmental awareness. When households purchase energy-efficient vehicles,

  1. Household water treatment and safe storage options for Northern Region Ghana : consumer preference and relative cost

    E-Print Network [OSTI]

    Green, Vanessa (Vanessa Layton)

    2008-01-01

    A range of household water treatment and safe storage (HWTS) products are available in Northern Region Ghana which have the potential to significantly improve local drinking water quality. However, to date, the region has ...

  2. Explaining households' economic hardship -an interplay of demography and housing system

    E-Print Network [OSTI]

    Birmingham, University of

    Explaining households' economic hardship - an interplay of demography and housing system Paper on research conducted in the EU 7th Framework Program DEMHOW Demographic Change and Housing Wealth (Grant. Demography and housing in the two-level model..............................................................6

  3. Distributional Impacts of Carbon Pricing: A General Equilibrium Approach with Micro-Data for Households

    E-Print Network [OSTI]

    Rausch, Sebastian

    Many policies to limit greenhouse gas emissions have at their core efforts to put a price on carbon emissions. Carbon pricing impacts households both by raising the cost of carbon intensive products and by changing factor ...

  4. Mapping Fuel Poverty Risk at Household Scale using Infrared Thermography and a Fuzzy Set Approach 

    E-Print Network [OSTI]

    le Riche, Marguerite M.

    2015-11-01

    This project investigates to what extent infrared thermography can be applied to improve the identification of households at risk of fuel poverty. As a method for qualitatively assessing the thermal efficiency of buildings, ...

  5. Mexican-Origin Interregional Migration from the Southwest: Human, Household, and Community Capital Hypotheses 

    E-Print Network [OSTI]

    Siordia, Carlos

    2010-01-16

    their neighborhood and make residential location decisions (Ellis, Wright, & Parks 2006). The key difference between human and household social capital is that in general terms human capital theory focuses on the individual?s characteristics while household social... geographic areas to another. For example, the core?s grip can be seen as loosening its grip on the Mexican-origin population at the beginning of the 20 th century when agricultural, manufacturing, and railroad industries produced several pull forces...

  6. A Mixed Nordic Experience: Implementing Competitive Retail Electricity Markets for Household Customers

    SciTech Connect (OSTI)

    Olsen, Ole Jess; Johnsen, Tor Arnt; Lewis, Philip

    2006-11-15

    Although the Nordic countries were among the first to develop competition in the electricity industry, it took a long time to make retail competition work. In Norway and Sweden a considerable number of households are actively using the market but very few households are active in Finland and Denmark. One problem has been institutional barriers involving metering, limited unbundling of distribution and supply, and limited access to reliable information on contracts and prices. (author)

  7. Impact of the National School Lunch Program on Children's Food Security 

    E-Print Network [OSTI]

    Gao, Xiang

    2012-07-16

    The U.S. is the world's largest economy, accounting for about 20% of world Gross Domestic Product (GDP). With a high income and a mature welfare system, households in the U.S. should have enough food and healthy diets, ...

  8. Fourth-order algorithms for solving the imaginary-time Gross-Pitaevskii equation in a rotating anisotropic trap

    E-Print Network [OSTI]

    Chin, Siu A.

    Fourth-order algorithms for solving the imaginary-time Gross-Pitaevskii equation in a rotating fast and accurate fourth-order algorithms for evolving the Gross-Pitaevskii equation in imaginary time. Such fourth-order algorithms are possible only with the use of forward, positive time step factorization

  9. AUTOMATIC EMOTION REGULATION 1 Mauss, I. B., Bunge, S. A., & Gross, J. J. (2007). Automatic emotion regulation. Social and

    E-Print Network [OSTI]

    Gross, James J.

    2007-01-01

    AUTOMATIC EMOTION REGULATION 1 Mauss, I. B., Bunge, S. A., & Gross, J. J. (2007). Automatic emotion://www.blackwell-compass.com/subject/socialpsychology/ Automatic Emotion Regulation Iris B. Mauss1 , Silvia A. Bunge2 , & James J. Gross3 1 University of Denver 2 University of California, Berkeley 3 Stanford University #12;AUTOMATIC EMOTION REGULATION 2 Abstract How do

  10. GSGPEs: a MATLAB code for computing the ground state of systems of GrossPitaevskii equations

    E-Print Network [OSTI]

    Caliari, Marco

    with an approximate line-search strategy. Keywords: Nonlinear Schr¨odinger equations, Gross­Pitaevskii equations, Bose­Einstein to Computer Physics Communications October 11, 2012 #12;mathematically model a Bose­Einstein Condensate (BEC spatial direction (test run output). 1. Introduction The first experimental realization of Bose­Einstein

  11. FOURIER COEFFICIENTS OF MODULAR FORMS ON G2 WEE TECK GAN, BENEDICT GROSS AND GORDAN SAVIN

    E-Print Network [OSTI]

    Gan, Wee Teck

    FOURIER COEFFICIENTS OF MODULAR FORMS ON G2 WEE TECK GAN, BENEDICT GROSS AND GORDAN SAVIN Abstract. We develop a theory of Fourier coefficients for modular forms on the split ex- ceptional group G2 on the group SL2(Z) is the wealth of information carried by the Fourier coefficients an(f), for n 0

  12. Gross error detection and stage efficiency estimation in a separation process

    SciTech Connect (OSTI)

    Serth, R.W.; Srikanth, B. . Dept. of Chemical and Natural Gas Engineering); Maronga, S.J. . Dept. of Chemical and Process Engineering)

    1993-10-01

    Accurate process models are required for optimization and control in chemical plants and petroleum refineries. These models involve various equipment parameters, such as stage efficiencies in distillation columns, the values of which must be determined by fitting the models to process data. Since the data contain random and systematic measurement errors, some of which may be large (gross errors), they must be reconciled to obtain reliable estimates of equipment parameters. The problem thus involves parameter estimation coupled with gross error detection and data reconciliation. MacDonald and Howat (1988) studied the above problem for a single-stage flash distillation process. Their analysis was based on the definition of stage efficiency due to Hausen, which has some significant disadvantages in this context, as discussed below. In addition, they considered only data sets which contained no gross errors. The purpose of this article is to extend the above work by considering alternative definitions of state efficiency and efficiency estimation in the presence of gross errors.

  13. Note on the Zero-Energy-Limit Solution for the Modified Gross-Pitaevskii Equation

    E-Print Network [OSTI]

    A. Kwang-Hua Chu

    2006-12-06

    The modified Gross-Pitaevskii equation was derived and solved to obtain the 1D solution in the zero-energy limit. This stationary solution could account for the dominated contributions due to the kinetic effect as well as the chemical potential in inhomogeneous Bose gases.

  14. Handbook of Graph Theory. Edited by Jonathan L. Gross and Jay Yellen. CRC Press,

    E-Print Network [OSTI]

    Beezer, Robert A.

    Handbook of Graph Theory. Edited by Jonathan L. Gross and Jay Yellen. CRC Press, Boca Raton, Florida, 2004. ISBN 1-58488-090-2, Harcover. 1167 pp., $119.95. The "CRC Handbook" is well-known to any-familiarity to greatly expand its "Handbook" series. One of the newest entries to join titles such as the Hand- book

  15. Derivation of the GrossPitaevskii Equation for the Dynamics of BoseEinstein Condensate

    E-Print Network [OSTI]

    Derivation of the Gross­Pitaevskii Equation for the Dynamics of Bose­Einstein Condensate L­Einstein condensation states that at a very low temperature Bose systems with a pair interaction exhibit a collective mode, the Bose­Einstein condensate. If one neglects the interaction and treats all bosons

  16. A BASIC INTRODUCTION TO CONCERT SOUND ENGINEERING Compiled by Lou Gross -Jubilee Community Arts

    E-Print Network [OSTI]

    Gross, Louis J.

    A BASIC INTRODUCTION TO CONCERT SOUND ENGINEERING Compiled by Lou Gross - Jubilee Community Arts and includes details on the social aspects of being a good sound engineer along with a fairly quick overview.) Coverage: This Guide is my attempt at a summary to aid the training of volunteers in the basics of live

  17. Nuclear Power: A Price Worth Paying For A Stable Climate? Will Cavendish & Robert Gross

    E-Print Network [OSTI]

    Nuclear Power: A Price Worth Paying For A Stable Climate? Will Cavendish & Robert Gross Thanks to the recent troubles at Sellafield, nuclear power has been in the news again. But focussing on BNFL alone." The case for nuclear is simple: nuclear power is CO2 free and its waste can be reprocessed. It already

  18. Copyright George Gross, 2004 1 Evolving Nature of Electricity Market Design in the U.S.

    E-Print Network [OSTI]

    Copyright George Gross, 2004 1 Evolving Nature of Electricity Market Design in the U.S. G in the electricity sector. FERC withdrew the proposed rulemaking and replaced it with the less ambitious White Paper smoothly functioning electricity wholesale markets in the U.S. and the path taken toward the implementation

  19. Gross Error Detection in Chemical Plants and Refineries for On-Line Optimization

    E-Print Network [OSTI]

    Pike, Ralph W.

    Automation - FACS DOT Products, Inc. - NOVA #12;Distributed Control System Runs control algorithmthreetimesGross Error Detection in Chemical Plants and Refineries for On-Line Optimization Xueyu Chen, Derya, Baton Rouge, LA (February 28, 2003) #12;INTRODUCTION o Status of on-line optimization o Theoretical

  20. Simulation Of Energy Storage In A System With Integrated Wind Yannick Degeilh, Justine Descloux, George Gross

    E-Print Network [OSTI]

    Gross, George

    Simulation Of Energy Storage In A System With Integrated Wind Resources Yannick Degeilh, Justine-scale storage [3],[4] to facilitate the improved harnessing of the wind resources by storing wind energy Descloux, George Gross University of Illinois at Urbana-Champaign, USA Abstract ­ Utility-scale storage

  1. Energy Department Provides $140.3 Million to Low-Income Families...

    Energy Savers [EERE]

    households the costs average 14 percent. These costs can include anything from heating and cooling their homes to running the lights, computers and other appliances that...

  2. Department of Energy Provides Nearly $112 Million to Low-Income...

    Energy Savers [EERE]

    households the costs average 16 percent. These costs can include anything from heating and cooling their homes to running the lights, computers and other appliances....

  3. MATERIALS TRANSFER AGREEMENT for incoming item(s)

    E-Print Network [OSTI]

    Northern British Columbia, University of

    MATERIALS TRANSFER AGREEMENT for incoming item(s) To be used when an item(s) is being provided for demonstration or loaner purposes. This Materials Transfer Agreement ("Agreement") is made by and between, the University is interested in receiving from the Provider certain material(s), defined below

  4. Integrating Photovoltaic Systems into Low-Income Housing Developments

    E-Print Network [OSTI]

    through funding from the Solar America Showcase activity of the U.S. Department of Energy's Solar Energy of a New Residential Financing Model and Low-Income Resident Job Training Program SEPTEMBER 2011 SOLAR Technologies Program. To learn more, please visit: www.solar.energy.gov/solar_america_showcases.html Authors

  5. QER- Comment of Low-income Energy Affordability Network [MA

    Broader source: Energy.gov [DOE]

    Thank you, Secretary Moniz for the opportunity to submit testimony, I am entering this testimony to call attention to the Secretary and DOE staff, that DOE has operated a successful energy efficiency program for low income renters and home owners since DOE’s creation as a department, that leverages hundreds of millions of dollars in utility and other governmental and private investments...

  6. C.D. Howe Institute Taxing Emissions, Not Income

    E-Print Network [OSTI]

    C.D. Howe Institute COMMENTARY Taxing Emissions, Not Income: How to Moderate the Regional Impact... If policymakers wish to reduce Canadian greenhouse gas emissions, they can do so using a suite of policy tools dioxide and other GHG emissions. However, policymakers have yet to take such action because of concerns

  7. Statistical Mechanics of Money, Income, Debt, and Energy Consumption

    E-Print Network [OSTI]

    Lathrop, Daniel P.

    Statistical Mechanics of Money, Income, Debt, and Energy Consumption Physics Colloquium Presented in financial markets. Globally, data analysis of energy consumption per capita around the world shows@american.edu Similarly to the probability distribution of energy in physics, the probability distribution of money among

  8. Energy and Indoor Environmental Quality Retrofits in Low-Income

    E-Print Network [OSTI]

    environmental measurements and collect energy consumption data. Based on analyses of the data collected fromEnergy and Indoor Environmental Quality Retrofits in Low-Income Apartments ENVIRONMENTAL ENERGY RESEARCH PIER Environmental Research www.energy.ca.gov/research/environmental August 2011 The Issue

  9. Financial Policy Manual 2121 ACCOUNTING FOR PROGRAM INCOME

    E-Print Network [OSTI]

    George, Edward I.

    property or items fabricated under an Award. Note: Income earned from license fees and royalties on patents of the award, either is required to be remitted to the sponsor, or may be used as additional project support is added to the funds committed to the project to further the objectives of the award; 2. Matching, used

  10. A Welcome to Incoming Optics Students from the Director

    E-Print Network [OSTI]

    A Welcome to Incoming Optics Students from the Director It is my great pleasure to welcome you to The Institute of Optics, to join the training for the next generation of leaders in the field. Approximately half of all optics degrees awarded nationwide have been awarded by our institute since its founding

  11. Family Moderate Income Homeowners In New York State

    Broader source: Energy.gov [DOE]

    "Family Moderate Income Homeowners In New York State: Enhancing Resource Accessibility Through Process Improvement and Targeted Outreach," by Residential Energy Efficiency Solutions, July 10, 2012, Arlington, Virginia. Provides an overview of broadening accessibility to financing through process improvement and targeted outreach.

  12. Survey of Casework Mixtures A.M. Gross February 19, 2008 http://www.cstl.nist.gov/biotech/strbase/training/AAFS2008_MixtureWorkshop.htm 1

    E-Print Network [OSTI]

    Survey of Casework Mixtures ­ A.M. Gross February 19, 2008 http://www.cstl.nist.gov/biotech mixtures #12;Survey of Casework Mixtures ­ A.M. Gross February 19, 2008 http://www.cstl.nist.gov/biotech Mixtures ­ A.M. Gross February 19, 2008 http://www.cstl.nist.gov/biotech/strbase/training/AAFS2008_Mixture

  13. Activity-based Travel Demand Model with Time-use and Microsimulation incorporating Intra-household Interactions

    E-Print Network [OSTI]

    Kim, Hee-Kyung

    2008-01-01

    production function, the optimal allocation of time tofunction, the structural model of household resource allocationfunction. Domestic production model The optimal allocation

  14. Housing deficits as a frame for housing policy: Demographic change, economic crisis and household formation in Indonesia

    E-Print Network [OSTI]

    Monkkonen, P

    2013-01-01

    states passion for social housing. Vanguard Nigeria. Asianto help expand access to housing in Indonesia. Manila: PressThe transformation of housing and household structures in

  15. Development of the household sample for furnace and boilerlife-cycle cost analysis

    SciTech Connect (OSTI)

    Whitehead, Camilla Dunham; Franco, Victor; Lekov, Alex; Lutz, Jim

    2005-05-31

    Residential household space heating energy use comprises close to half of all residential energy consumption. Currently, average space heating use by household is 43.9 Mbtu for a year. An average, however, does not reflect regional variation in heating practices, energy costs, or fuel type. Indeed, a national average does not capture regional or consumer group cost impacts from changing efficiency levels of heating equipment. The US Department of Energy sets energy standards for residential appliances in, what is called, a rulemaking process. The residential furnace and boiler efficiency rulemaking process investigates the costs and benefits of possible updates to the current minimum efficiency regulations. Lawrence Berkeley National Laboratory (LBNL) selected the sample used in the residential furnace and boiler efficiency rulemaking from publically available data representing United States residences. The sample represents 107 million households in the country. The data sample provides the household energy consumption and energy price inputs to the life-cycle cost analysis segment of the furnace and boiler rulemaking. This paper describes the choice of criteria to select the sample of houses used in the rulemaking process. The process of data extraction is detailed in the appendices and is easily duplicated. The life-cycle cost is calculated in two ways with a household marginal energy price and a national average energy price. The LCC results show that using an national average energy price produces higher LCC savings but does not reflect regional differences in energy price.

  16. "Shelter within my reach" : medium rise apartment housing for the middle income group in Karachi, Pakistan

    E-Print Network [OSTI]

    Mahmood, Saman, 1972-

    1999-01-01

    This thesis identifies the project development processes of medium rise (five storied or less) apartment housing built by the private formal sector, catering to the middle income groups in Karachi, Pakistan. Middle income ...

  17. Mali-Program for Scaling Up Renewable Energy in Low Income Countries...

    Open Energy Info (EERE)

    Mali-Program for Scaling Up Renewable Energy in Low Income Countries (SREP) Jump to: navigation, search Name Mali-Program for Scaling Up Renewable Energy in Low Income Countries...

  18. Popular urban settlements in Athens : a comparative study of low income housing

    E-Print Network [OSTI]

    Kitsiou, Triada

    1981-01-01

    This study is concerned with aspects of housing and urban development related to the lower income groups in the context of urbanization in Athens, Greece. It identifies and evaluates typical low income housing settlements ...

  19. NYSERDA's Green Jobs-Green New York Program: Extending Energy Efficiency Financing To Underserved Households

    SciTech Connect (OSTI)

    Zimring, Mark; Fuller, Merrian

    2011-01-24

    The New York legislature passed the Green Jobs-Green New York (GJGNY) Act in 2009. Administered by the New York State Energy Research and Development Authority (NYSERDA), GJGNY programs provide New Yorkers with access to free or low-cost energy assessments,1 energy upgrade services,2 low-cost financing, and training for various 'green-collar' careers. Launched in November 2010, GJGNY's residential initiative is notable for its use of novel underwriting criteria to expand access to energy efficiency financing for households seeking to participate in New York's Home Performance with Energy Star (HPwES) program.3 The GJGNY financing program is a valuable test of whether alternatives to credit scores can be used to responsibly expand credit opportunities for households that do not qualify for traditional lending products and, in doing so, enable more households to make energy efficiency upgrades.

  20. TOP INCOMES IN THE UNITED STATES AND CANADA OVER THE TWENTIETH CENTURY

    E-Print Network [OSTI]

    Sadoulet, Elisabeth

    TOP INCOMES IN THE UNITED STATES AND CANADA OVER THE TWENTIETH CENTURY Emmanuel Saez University of California, Berkeley Abstract This paper presents top income shares series for the United States and Canada over the 20th century. In both countries, top income shares display a U-shaped pattern over the century

  1. Page 1 of 2 80.4 Managing Program Income Earned on Federally Funded Research

    E-Print Network [OSTI]

    Yang, Eui-Hyeok

    under an award, or license fees. Program income does not include the receipt of principal on loans of an award. Program income includes, but is not limited to, income from fees for services performed on federal awards, the sponsoring agency usually specifies in the award terms and conditions how the program

  2. Self-consistent crystalline condensate in chiral Gross-Neveu and Bogoliubov-de Gennes systems

    E-Print Network [OSTI]

    Gokce Basar; Gerald V. Dunne

    2008-05-28

    We derive a new exact self-consistent crystalline condensate in the 1+1 dimensional chiral Gross-Neveu model. This also yields a new exact crystalline solution for the one dimensional Bogoliubov-de Gennes equations and the Eilenberger equation of semiclassical superconductivity. We show that the functional gap equation can be reduced to a solvable nonlinear equation, and discuss implications for the temperature-chemical potential phase diagram.

  3. What Drives the Public Mood of Income Inequality 

    E-Print Network [OSTI]

    Myers, Rebekah M

    2014-08-13

    on Income Inequality Move Opinion? . . . 5 1.3.1 Presidential Agenda Setting . . . . . . . . . . . . . . . . . . . 5 1.3.2 Can the President Move Opinion? . . . . . . . . . . . . . . . . 6 1.3.3 Strategic Presidential Rhetoric... Inequality Move Opinion? 1.3.1 Presidential Agenda Setting The president is elected with expectations that he will implement the policies he advocated for in his platform during his campaign. These issues have been strate- gically predetermined...

  4. Spatial Distribution of U.S. Household Carbon Footprints Reveals Suburbanization Undermines Greenhouse Gas Benefits of Urban

    E-Print Network [OSTI]

    Kammen, Daniel M.

    Spatial Distribution of U.S. Household Carbon Footprints Reveals Suburbanization Undermines that were used to derive average household carbon footprints (HCF) for U.S. zip codes, cities, counties, and metropolitan areas. We find consistently lower HCF in urban core cities (40 tCO2e) and higher carbon footprints

  5. A continuous measure of gross primary production for the conterminous United States derived from MODIS and AmeriFlux data

    E-Print Network [OSTI]

    Xiao, Jingfeng

    A continuous measure of gross primary production for the conterminous United States derived from Berkeley National Laboratory, Environmental Energy Technologies Division, Atmospheric Science Department Center Karlsruhe (FZK/IMK-IFU), Kreuzeckbahnstr, 19, 82467 Garmisch-Partenkirchen, Germany af Department

  6. The Embedded Economy and National Income Inequality: A Cross-National Analysis of Production Globalization and Labor Market Institutions

    E-Print Network [OSTI]

    Roberts, Anthony J.

    2015-01-01

    Investment and Income Inequalit y: The Natural Experiment ofChristian Morrisson. 2002. "Inequality Among World Citizens:Institutions and Income Inequality." Economic Policy 56:

  7. Using Circuit-Level Power Measurements in Household Energy Management Systems

    E-Print Network [OSTI]

    Han, Qi "Chee"

    to accurately measure en- ergy usage in the home. Measuring energy usage is not dif- ficult, however we must- formation for large appliances. However, the only way to monitor the energy usage of smaller devices. This paper explores an alternative, more practi- cal, approach to monitor household energy usage including

  8. HOUSEHOLD AND STRUCTURAL INSECTS Accuracy of Trained Canines for Detecting Bed Bugs (Hemiptera

    E-Print Network [OSTI]

    Wang, Changlu

    HOUSEHOLD AND STRUCTURAL INSECTS Accuracy of Trained Canines for Detecting Bed Bugs (Hemiptera) compared the effectiveness of visual inspection, passive pitfall-style interceptors, and active (with lure number of infestations was de- tected by passive pitfall-style monitors (70%) placed under the legs

  9. Vulnerability and household livelihoods in small scale fishing areas in Africa: An asset-based approach

    E-Print Network [OSTI]

    Krivobokova, Tatyana

    Vulnerability and household livelihoods in small scale fishing areas in Africa: An asset vulnerability to poverty and livelihood choices in small-scale fishing areas. The use of an asset on natural resources for their livelihoods, such as fishing, are often marginalized or ignored in national

  10. The residential landscape: fluxes of elements and the role of household decisions

    E-Print Network [OSTI]

    Thomas, David D.

    emissions from other household activities (e.g., fossil fuel CO2 emissions; Qian et al. 2003; Fissore et al to the landscape. The results have implications for understanding sources of urban pollution and the potential (Nowak et al. 2006), reducing nonpoint source pollution (Baker et al. 2008), and reducing energy use

  11. Clustering South African Households Based on their Asset Status Using Latent Variable Models.

    E-Print Network [OSTI]

    Washington at Seattle, University of

    Clustering South African Households Based on their Asset Status Using Latent Variable Models into homogeneous groups based on their asset status. A model-based approach to clustering, based on latent variable and the models are combined to produce a hybrid model capable of handling mixed data types. Further, a mixture

  12. Household Energy Use and Travel: Opportunities for Behavioral Change Sashank Musti

    E-Print Network [OSTI]

    Kockelman, Kara M.

    of debate, both globally and nationally. Reducing energy consumption directly addresses each of these issues to curb global climate change, and most prefer caps on consumption over taxation. Data and empirical: Household energy consumption, transport energy, climate change, greenhouse gas emissions #12;2 INTRODUCTION

  13. Deforestation and Cattle Ranching in the Brazilian Amazon: External Capital and Household Processes

    E-Print Network [OSTI]

    Walker, Robert T.

    Deforestation and Cattle Ranching in the Brazilian Amazon: External Capital and Household Processes. INTRODUCTION Pasture creation and cattle ranches have been identi®ed as major factors in tropical defores of cattle ranching in Brazil has been particularly notable. Spurred by government incentive programs in Para

  14. HOUSEHOLD AND STRUCTURAL INSECTS Mineral Oil and Aliphatic Alcohols: Toxicity and Analysis of Synergistic

    E-Print Network [OSTI]

    O'Brien, Timothy E.

    HOUSEHOLD AND STRUCTURAL INSECTS Mineral Oil and Aliphatic Alcohols: Toxicity and Analysis. Entomol. 104(5): 1680Ð1686 (2011); DOI: http://dx.doi.org/10.1603/EC10440 ABSTRACT Two mineral oils and 12 and some- times repeated applications. Mineral oils, and other petroleum distillates, are often used

  15. Improving Device-level Electricity Consumption Breakdowns in Private Households Using ON/OFF Events

    E-Print Network [OSTI]

    , Switzerland tstaake@ethz.ch Silvia Santini Wireless Sensor Networks Lab TU Darmstadt 64283 Darmstadt, Germany recommen- dations on how to reduce the overall energy consumption of the household. In this paper, we build Descriptors H.4 [Information Systems Applications]: Miscellaneous 1. INTRODUCTION The energy sector

  16. Fact #616: March 29, 2010 Household Vehicle-Miles of Travel by Trip Purpose

    Broader source: Energy.gov [DOE]

    In 2009, getting to and from work accounted for about 27% of household vehicle-miles of travel (VMT). Work-related business was 8.4% of VMT in 2001, but declined to 6.7% in 2009, possibly due to...

  17. S U P P L E M E N T A R T I C L E Determinants of Household Costs Associated

    E-Print Network [OSTI]

    Rheingans, Richard

    S U P P L E M E N T A R T I C L E Determinants of Household Costs Associated With Childhood households. We used survey data from sites in Bangladesh, India, and Pakistan to estimate the costs borne by households due to childhood diarrhea, including direct medical costs, direct nonmedical costs

  18. Evaluating the income and employment impacts of gas cooling technologies

    SciTech Connect (OSTI)

    Hughes, P.J.; Laitner, S.

    1995-03-01

    The purpose of this study is to estimate the potential employment and income benefits of the emerging market for gas cooling products. The emphasis here is on exports because that is the major opportunity for the U.S. heating, ventilating, and air-conditioning (HVAC) industry. But domestic markets are also important and considered here because without a significant domestic market, it is unlikely that the plant investments, jobs, and income associated with gas cooling exports would be retained within the United States. The prospects for significant gas cooling exports appear promising for a variety of reasons. There is an expanding need for cooling in the developing world, natural gas is widely available, electric infrastructures are over-stressed in many areas, and the cost of building new gas infrastructure is modest compared to the cost of new electric infrastructure. Global gas cooling competition is currently limited, with Japanese and U.S. companies, and their foreign business partners, the only product sources. U.S. manufacturers of HVAC products are well positioned to compete globally, and are already one of the faster growing goods-exporting sectors of the U.S. economy. Net HVAC exports grew by over 800 percent from 1987 to 1992 and currently exceed $2.6 billion annually (ARI 1994). Net gas cooling job and income creation are estimated using an economic input-output model to compare a reference case to a gas cooling scenario. The reference case reflects current policies, practices, and trends with respect to conventional electric cooling technologies. The gas cooling scenario examines the impact of accelerated use of natural gas cooling technologies here and abroad.

  19. A structural analysis of natural gas consumption by income class from 1987 to 1993

    SciTech Connect (OSTI)

    Poyer, D.A.

    1996-12-01

    This study had two major objectives: (1) assess and compare changes in natural gas consumption between 1987 and 1993 by income group and (2) assess the potential influence of energy policy on observed changes in natural gas consumption over time and across income groups. This analysis used U.S. Department of Energy (DOE) data files and involved both the generation of simple descriptive statistics and the use of multivariate regression analysis. The consumption of natural gas by the groups was studied over a six-year period. The results showed that: (1) natural gas use was substantially higher for the highest income group than for the two lower income groups and (2) natural gas consumption declined for the lowest and middle income quintiles and increased for the highest income quintile between 1987 and 1990; between 1990 and 1993, consumption increased for the lowest and middle income quintile, but remained relatively constant for the highest income quintile. The relative importance of the structural and variable factors in explaining consumption changes between survey periods varies by income group. The analysis provides two major energy policy implications: (1) natural gas intensity has been the highest for the lowest income group, indicating that this group is more vulnerable to sudden changes in demand-indicator variables, in particular weather-related variables, than increase natural gas consumption, and (2) the fall in natural gas intensity between 1987 and 1993 may indicate that energy policy has had some impact on reducing natural gas consumption. 11 refs., 4 figs., 16 tabs.

  20. "Table 2. Real Gross Domestic Product Growth Trends, Projected vs. Actual"

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price to fall to $3.43U.S.longec 188 U.S.1 HomeRegional costTotalReal Gross

  1. Test of the Schrödinger functional with chiral fermions in the Gross-Neveu model

    E-Print Network [OSTI]

    Bjorn Leder

    2008-04-15

    The recently proposed construction of chiral fermions on lattices with boundaries is tested in an interacting theory up to first order of perturbation theory. We confirm that, in the bulk of the lattice, the chiral Ward identities take their continuum value up to cutoff effects without any tuning. Universal quantities are defined that have an expansion in the renormalised couplings with coefficients that are functions of the physical size and the periodicity in the spatial direction. These coefficient functions have to be identical for different discretisations. We find agreement with the standard Wilson fermions. The computation is done in the asymptotically free Gross-Neveu model with continuous chiral symmetry.

  2. ,"Texas--State Offshore Natural Gas Gross Withdrawals (MMcf)"

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008Wellhead PriceConsumption by9"CoalbedGas, WetPlantPlant Liquids,CoalbedGross

  3. ,"Alabama--State Offshore Natural Gas Gross Withdrawals (MMcf)"

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008 © OECD/IEA -UndergroundPrices"Share of Total U.S.Gross

  4. ,"California--State Offshore Natural Gas Gross Withdrawals (MMcf)"

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008LNG Storage Net WithdrawalsNonassociatedGross Withdrawals

  5. ,"Federal Offshore California Natural Gas Gross Withdrawals (MMcf)"

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008LNG StorageCoalbed Methane Proved Reserves (Billion CubicGross

  6. ,"Federal Offshore--Louisiana Natural Gas Gross Withdrawals (MMcf)"

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008LNG StorageCoalbed Methane Proved ReservesGross Withdrawals

  7. ,"Federal Offshore--Texas Natural Gas Gross Withdrawals (MMcf)"

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008LNG StorageCoalbed Methane Proved ReservesGrossLiquidsNatural Gas

  8. West Virginia Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion CubicEnergy Markets 24,Presented To:8, 2012 AlabamaE. Great Basin438DistillateGross

  9. New York Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Marthrough 1996)Price780 922SeparationGross Withdrawals

  10. Texas--State Offshore Natural Gas Gross Withdrawals (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0Proved Reserves (BillionProduction (MillionProvedGross Withdrawals

  11. U.S. Natural Gas Gross Withdrawals Offshore (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0Proved ReservesData2009 2010 2011 2012Feet)Gross Withdrawals

  12. U.S. Natural Gas Gross Withdrawals from Coalbed Wells (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0Proved ReservesData2009 2010 2011 2012Feet)GrossDecade Year-0

  13. U.S. Natural Gas Gross Withdrawals from Gas Wells (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0Proved ReservesData2009 2010 2011 2012Feet)GrossDecade

  14. U.S. Natural Gas Gross Withdrawals from Oil Wells (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0Proved ReservesData2009 2010 2011 2012Feet)GrossDecadeDecade

  15. US--Federal Offshore Natural Gas Gross Withdrawals (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0Proved ReservesData20092009 2010 2011Two-Dimensional SeismicGross

  16. Property:CoolingTowerWaterUseSummerGross | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceIIInformationEnergyReportNumber JumpConferenceCoolingTowerWaterUseSummerGross

  17. Property:CoolingTowerWaterUseWinterGross | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceIIInformationEnergyReportNumberCoolingTowerWaterUseWinterGross Jump to:

  18. Gross Gamma-Ray Calibration Blocks (May 1978) | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum12,Executive CompensationEnergyGetDepartment1 Grid-InteractiveGross Gamma-Ray

  19. Table 2. Real Gross Domestic Product Growth Trends, Projected vs. Actual

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988 1.996Deutsche Bank AGTotal DeliveredReal Gross

  20. Hope, Humor and Quality of Life in a Low Income Sample

    E-Print Network [OSTI]

    Ronan, Kathryn

    2009-04-23

    to meet goals will consequently be plagued by negative emotions or vice versa. The following study will assess hope as defined by hope theory: hope is a thought process that results in emotions. Hope theory portends that hopeful individuals are problem... higher income populations (Bassuk, et al., 1998; Everson et al., 2002; Weich & Lewis, 1998). A ? 4? ? recent study of 436 low income women with children compared the rates of PTSD, major depression, and substance abuse among the low income women to a...

  1. Gross-Pitaevskii-Poisson equations for dipolar Bose-Einstein condensate with anisotropic confinement

    E-Print Network [OSTI]

    Weizhu Bao; Naoufel Ben Abdallah; Yongyong Cai

    2012-12-20

    Ground states and dynamical properties of dipolar Bose-Einstein condensate are analyzed based on the Gross-Pitaevskii-Poisson system (GPPS) and its dimension reduction models under anisotropic confining potential. We begin with the three-dimensional (3D) Gross-Pitaevskii-Poisson system and review its quasi-2D approximate equations when the trap is strongly confined in $z$-direction and quasi-1D approximate equations when the trap is strongly confined in $x$-, $y$-directions. In fact, in the quasi-2D equations, a fractional Poisson equation with the operator $(-\\Delta)^{1/2}$ is involved which brings significant difficulties into the analysis. Existence and uniqueness as well as nonexistence of the ground state under different parameter regimes are established for the quasi-2D and quasi-1D equations. Well-posedness of the Cauchy problem for both equations and finite time blowup in 2D are analyzed. Finally, we rigorously prove the convergence and linear convergence rate between the solutions of the 3D GPPS and its quasi-2D and quasi-1D approximate equations in weak interaction regime.

  2. Unmet Housing Rehabilitation and Household Goods Needs in Texas During Katrina-Rita, 2005 

    E-Print Network [OSTI]

    Finley, Dayna

    2012-07-11

    Area Information Center CD Compact Disk FCC Federal Communication Commission FEMA Federal Emergency Management Agency HUD Department of Housing and Urban Development HVAC Heating Ventilation and Air Conditioning I and R Information and Referral... ...................................................................................................................... 34 3.7 Map of 2-1-1 Calls for Unmet Housing Rehabilitation Needs in Texas, Fall 2005, Adjusted by Population. ............................................................................ 37 3.8 Map of 2-1-1 Calls for Unmet Household...

  3. Development of program implementation, evaluation, and selection tools for household water treatment and safe storage systems in developing countries

    E-Print Network [OSTI]

    Baffrey, Robert Michael Nuval, 1977-

    2005-01-01

    Over the past six years, the MIT Department of Civil and Environmental Engineering's Master of Engineering program has undertaken various projects involved with the design and implementation of a wide range of household ...

  4. BC Hydro Brings Energy Savings to Low-Income Families in Canada...

    Broader source: Energy.gov (indexed) [DOE]

    the impact of rising electricity costs in Canada. ECAP provides qualified low-income BC Hydro residential account holders with a free home energy assessment; installation of...

  5. California Solar Initiative- Low-Income Solar Water Heating Rebate Program

    Broader source: Energy.gov [DOE]

    The California Public Utilities Commission (CPUC) voted in October 2011 to create the California Solar Initiative (CSI) Thermal Low-Income program for single and multifamily residential properties....

  6. Implementation of a stepped-wedge cluster randomized design in routine public health practice: Design and application for a tuberculosis (TB) household contact study in a high burden area of Lima, Peru

    E-Print Network [OSTI]

    2015-01-01

    Household Contacts; ACF: Active Case Finding; PCF: Passivehousehold contact, and the underperformance of their current passive

  7. Evaluation of bulk paint worker exposure to solvents at household hazardous waste collection events

    SciTech Connect (OSTI)

    Cameron, M.

    1995-09-01

    In fiscal year 93/94, over 250 governmental agencies were involved in the collection of household hazardous wastes in the State of California. During that time, over 3,237,000 lbs. of oil based paint were collected in 9,640 drums. Most of this was in lab pack drums, which can only hold up to 20 one gallon cans. Cost for disposal of such drums is approximately $1000. In contrast, during the same year, 1,228,000 lbs. of flammable liquid were collected in 2,098 drums in bulk form. Incineration of bulked flammable liquids is approximately $135 per drum. Clearly, it is most cost effective to bulk flammable liquids at household hazardous waste events. Currently, this is the procedure used at most Temporary Household Hazardous Waste Collection Facilities (THHWCFs). THHWCFs are regulated by the Department of Toxic Substances Control (DTSC) under the new Permit-by Rule Regulations. These regulations specify certain requirements regarding traffic flow, emergency response notifications and prevention of exposure to the public. The regulations require that THHWCF operators bulk wastes only when the public is not present. [22 CCR, section 67450.4 (e) (2) (A)].Santa Clara County Environmental Health Department sponsors local THHWCF`s and does it`s own bulking. In order to save time and money, a variance from the regulation was requested and an employee monitoring program was initiated to determine actual exposure to workers. Results are presented.

  8. Measurement of Organophosphate Pesticides, Organochlorine Pesticides, and Polycyclic Aromatic Hydrocarbons in Household Dust from Two Rural Villages in Nepal 

    E-Print Network [OSTI]

    Cizmas, Leslie; Ackerman, Lani; Donnelly, Danielle A.; Donnelly, Kirby C.; McDonald, Thomas J.

    2015-01-16

    January 16, 2015 Citation: Cizmas L, Ackerman L, Donnelly DA, Donnelly KC, McDonald TJ (2015) Measurement of Organophosphate Pesticides, Organochlorine Pesticides, and Polycyclic Aromatic Hydrocarbons in Household Dust from Two Rural Villages in Nepal..., and reproduction in any medium, provided the original author and source are credited. Measurement of Organophosphate Pesticides, Organochlorine Pesticides, and Polycyclic Aromatic Hydrocarbons in Household Dust from Two Rural Villages in Nepal Leslie Cizmas1...

  9. Household disposables as breeding habitats of dengue vectors: Linking wastes and public health

    SciTech Connect (OSTI)

    Banerjee, Soumyajit, E-mail: soumyajitb@gmail.com [Department of Zoology, University of Calcutta, 35 Ballygunge Circular Road, Kolkata 700 019 (India); Aditya, Gautam, E-mail: gautamaditya2001@gmail.com [Department of Zoology, University of Calcutta, 35 Ballygunge Circular Road, Kolkata 700 019 (India); Department of Zoology, The University of Burdwan, Golapbag, Burdwan 713 104 (India); Saha, Goutam K, E-mail: gkszoo@rediffmail.com [Department of Zoology, University of Calcutta, 35 Ballygunge Circular Road, Kolkata 700 019 (India)

    2013-01-15

    Highlights: Black-Right-Pointing-Pointer An assessment of different household wastes as larval habitats of dengue vectors Aedes aegypti and Aedes albopictus was made using Kolkata, India as a model geographical area. Black-Right-Pointing-Pointer Household wastes of four major categories namely earthen, porcelain, plastic and coconut shells varied significantly for Aedes immature depending on species, month and location. Black-Right-Pointing-Pointer Based on the relative density of Aedes immature, cluster analyses allowed segregation and classification of the waste containers and relative importance as mosquito larval habitats. Black-Right-Pointing-Pointer Conversion of disposed wastes into larval habitats cautions for continuance of Aedes population in Kolkata and similar cities of tropics lacking suitable waste management practices. - Abstract: An assessment of the household wastes as larval habitats of the dengue vectors was made considering Kolkata, India, as geographical area. Wastes of four major categories, namely, earthen, porcelain, plastic and coconut shells were monitored for positive with immature of either Aedes aegypti or Aedes albopictus. Twenty six types of wastes with varying size and shape, resembling containers, were identified that hosted mosquito immature. The number of waste containers positive for Aedes immature varied significantly (P < 0.05) with respect to location, type and month. The relative density of Aedes immature in the waste containers varied significantly (P < 0.05) with the types and months. The significant interaction between the month, waste container types and density of Aedes immature suggest that the household wastes are important contributors to the maintenance of the population of Aedes mosquito in the city. Based on the relative density of mosquito immature in the wastes, cluster analysis allowed segregation and classification of the wastes and their importance as mosquito larval habitats. Apparently, the containers that are most frequently disposed off contributed largely to the sustenance of Aedes mosquito population in the city. This calls for a strict legislation towards disposal as well as enhanced management of the household wastes. A link between the wastes disposed and subsequent conversion to the mosquito larval habitats cautions for continuance of Aedes population and possibility of dengue epidemics if the existing management practices are not improved.

  10. Low-income communities : technological strategies for nurturing community, empowerment and self-sufficiency at a low-income housing development

    E-Print Network [OSTI]

    O'Bryant, Richard Louis, 1964-

    2004-01-01

    There are a number of historically familiar and unfamiliar forces at work in low-income communities in the United States. Recurrent forces include rapidly changing economic and demographic trends, Welfare Reform, and the ...

  11. Household`s choices of efficiency levels for appliances: Using stated- and revealed-preference data to identify the importance of rebates and financing arrangements

    SciTech Connect (OSTI)

    Train, K.; Atherton, T.

    1994-11-01

    We examine customers` choice between standard and high-efficiency equipment, and the impact of utility incentives such as rebates and loans on this decision. Using data from interviews with 400 households, we identify the factors that customers consider in their choice of efficiency level for appliances and the relative importance of these factors. We build a model that describes customers` choices and can be used to predict choices in future situations under changes in the attributes of appliances and in the utility`s DSM and as part of the appliance-choice component of utilities` end-use forecasting systems. As examples, the model is used to predict the impacts of: doubling the size of rebates, replacing rebates with financing programs, and offering loans and rebates as alternative options for customers.

  12. Marketing Compost A Guide for Compost Producers in Low and Middle-Income Countries

    E-Print Network [OSTI]

    Wehrli, Bernhard

    Marketing Compost A Guide for Compost Producers in Low and Middle-Income Countries Sandec #12;Marketing Compost A Guide for Compost Producers in Low and Middle-Income Countries Jonathan Rouse Introduction 7 2 Background 11 2.1 What is marketing? 11 2.2 Why is marketing important for compost producers

  13. The effects of capital on an income breeder: evidence from female Columbian ground squirrels

    E-Print Network [OSTI]

    Broussard, David

    The effects of capital on an income breeder: evidence from female Columbian ground squirrels David R. Broussard, F. Stephen Dobson, and J.O. Murie Abstract: To maximize fitness, organisms must and daily resource income on the reproductive investments of females. We predicted that because yearling fe

  14. Enabling energy efficiency for low-income housing in Developing countries using MIT Design Advisor

    E-Print Network [OSTI]

    Ali, Zehra (Zehra Hyder)

    2009-01-01

    There is a great need to improve energy efficiency of low-income housing, since people who can afford it least have to pay a significant portion of their income to make their homes more habitable or else live with greater ...

  15. Introduction Physics Environmental Issues Social Justice Disasters Activity: Income Inequality How to Mathematize the World

    E-Print Network [OSTI]

    Lega, Joceline

    Introduction Physics Environmental Issues Social Justice Disasters Activity: Income Inequality How Rincon High School University of Arizona 1/22/11 #12;Introduction Physics Environmental Issues Social Justice Disasters Activity: Income Inequality Outline Introduction Who are We? Why are We Here? Physics

  16. Public Management as Citizen Compliance: A Case Study of Income Tax Compliance Behavior in Thailand

    E-Print Network [OSTI]

    Chandarasorn, Maneekwan

    2012-08-31

    countries including Thailand, where a personal income tax gap is at least 200 billion Baht ($6.7 billion) or 10% of the total revenue. The two major purposes of this study are 1) to explore citizens' perceptions of the Thai personal income tax system...

  17. Income and Beyond: Taking the Measure of Child Deprivation in the United States

    E-Print Network [OSTI]

    Salzman, Daniel

    not captured by more standard income poverty and material hardship measures. The paper concludes of deprivation . Poverty. Income Child Ind Res DOI 10.1007/s12187-014-9246-6 R. Ciula Italian Revenue Agency in Poverty, Columbia University, New York, NY 10027, USA e-mail: skinner@nccp.org Author's personal copy #12

  18. Relativistic Gross-Pitaevskii equation and the cosmological Bose Einstein Condensation

    E-Print Network [OSTI]

    Takeshi Fukuyama; Masahiro Morikawa

    2006-01-30

    We do not know 96% of the total matter in the universe at present. In this paper, a cosmological model is proposed in which Dark Energy (DE) is identified as Bose-Einstein Condensation (BEC) of some boson field. Global cosmic acceleration caused by this BEC and multiple rapid collapses of BEC into black holes etc. (=Dark Matter (DM)) are examined based on the relativistic version of the Gross-Pitaevskii equation. We propose (a) a novel mechanism of inflation free from the slow-rolling condition, (b) a natural solution for the cosmic coincidence ('Why Now?') problem through the transition from DE into DM, (c) very early formation of highly non-linear objects such as black holes, which might trigger the first light as a form of quasars, and (d) log-z periodicity in the subsequent BEC collapsing time. All of these are based on the steady slow BEC process.

  19. Bifurcation of Nonlinear Bloch Waves from the Spectrum in the Gross-Pitaevskii Equation

    E-Print Network [OSTI]

    Tomáš Dohnal; Hannes Uecker

    2015-09-07

    We rigorously analyze the bifurcation of so called nonlinear Bloch waves (NLBs) from the spectrum in the Gross-Pitaevskii (GP) equation with a periodic potential, in arbitrary space dimensions. These are solutions which can be expressed as finite sums of quasi-periodic functions, and which in a formal asymptotic expansion are obtained from solutions of the so called algebraic coupled mode equations. Here we justify this expansion by proving the existence of NLBs and estimating the error of the formal asymptotics. The analysis is illustrated by numerical bifurcation diagrams, mostly in 2D. In addition, we illustrate some relations of NLBs to other classes of solutions of the GP equation, in particular to so called out--of--gap solitons and truncated NLBs.

  20. A modified lattice Bhatnagar-Gross-Krook model for convection heat transfer in porous media

    E-Print Network [OSTI]

    Wang, Liang; Guo, Zhaoli

    2015-01-01

    The lattice Bhatnagar-Gross-Krook (LBGK) model has become the most popular one in the lattice Boltzmann method for simulating the convection heat transfer in porous media. However, the LBGK model generally suffers from numerical instability at low fluid viscosities and effective thermal diffusivities. In this paper, a modified LBGK model is developed for incompressible thermal flows in porous media at the representative elementary volume scale, in which the shear rate and temperature gradient are incorporated into the equilibrium distribution functions. With two additional parameters, the relaxation times in the collision process can be fixed at a proper value invariable to the viscosity and the effective thermal diffusivity. In addition, by constructing a modified equilibrium distribution function and a source term in the evolution equation of temperature field, the present model can recover the macroscopic equations correctly through the Chapman-Enskog analysis, which is another key point different from pre...

  1. Wave chaos in the nonequilibrium dynamics of the Gross-Pitaevskii equation

    SciTech Connect (OSTI)

    Brezinova, Iva; Ludwig, Katharina; Burgdoerfer, Joachim [Institute for Theoretical Physics, Vienna University of Technology, Wiedner Hauptstrasse 8-10/136, A-1040 Vienna (Austria); Collins, Lee A. [Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545 (United States); Schneider, Barry I. [Physics Division, National Science Foundation, Arlington, Virginia 22230 (United States); Electron and Atomic Physics Division, National Institute of Standards and Technology, Gaithersburg, Maryland 20899 (United States)

    2011-04-15

    The Gross-Pitaevskii equation (GPE) plays an important role in the description of Bose-Einstein condensates (BECs) at the mean-field level. The GPE belongs to the class of nonlinear Schroedinger equations which are known to feature dynamical instability and collapse for attractive nonlinear interactions. We show that the GPE with repulsive nonlinear interactions typical for BECs features chaotic wave dynamics. We find positive Lyapunov exponents for BECs expanding in periodic and aperiodic smooth external potentials, as well as disorder potentials. Our analysis demonstrates that wave chaos characterized by the exponential divergence of nearby initial wave functions is to be distinguished from the notion of nonintegrability of nonlinear wave equations. We discuss the implications of these observations for the limits of applicability of the GPE, the problem of Anderson localization, and the properties of the underlying many-body dynamics.

  2. TableHC2.7.xls

    Gasoline and Diesel Fuel Update (EIA)

    Table HC7.7 Air-Conditioning Usage Indicators by Household Income, 2005 Below Poverty Line Eligible for Federal Assistance 1 2005 Household Income Housing Units (millions)...

  3. Total..........................................................

    U.S. Energy Information Administration (EIA) Indexed Site

    Table HC7.7 Air-Conditioning Usage Indicators by Household Income, 2005 Below Poverty Line Eligible for Federal Assistance 1 2005 Household Income Housing Units (millions)...

  4. Physical Activity, Chronic Stress, and Inflammation in Mothers during the First Postpartum Year

    E-Print Network [OSTI]

    Guardino, Christine Marie

    2014-01-01

    measures of per capita household income (cost of livingof income, cost of living adjusted per capita householddata for cost-of-living adjusted per capita household

  5. Stranded Vehicles: How Gasoline Taxes Change the Value of Households' Vehicle Assets

    E-Print Network [OSTI]

    Rothman, Daniel

    of increases in gasoline prices varies across income, geography, and political affiliation. One standard that changes in gasoline prices can have sizable effects on the market value of vehicles. In this paper in gasoline prices affect the value of the vehicles that people own and how this varies across demographic

  6. The changing character of household waste in the Czech Republic between 1999 and 2009 as a function of home heating methods

    SciTech Connect (OSTI)

    Doležalová, Markéta; Benešová, Libuše; Závodská, Anita

    2013-09-15

    Highlights: • The character of household waste in the three different types of households were assesed. • The quantity, density and composition of household waste were determined. • The physicochemical characteristics were determined. • The changing character of household waste during past 10 years was described. • The potential of energy recovery of household waste in Czech republic was assesed. - Abstract: The authors of this paper report on the changing character of household waste, in the Czech Republic between 1999 and 2009 in households differentiated by their heating methods. The data presented are the result of two projects, financed by the Czech Ministry of Environment, which were undertaken during this time period with the aim of focusing on the waste characterisation and complete analysis of the physicochemical properties of the household waste. In the Czech Republic, the composition of household waste varies significantly between different types of households based on the methods of home heating employed. For the purposes of these studies, the types of homes were divided into three categories – urban, mixed and rural. Some of the biggest differences were found in the quantities of certain subsample categories, especially fine residue (matter smaller than 20 mm), between urban households with central heating and rural households that primarily employ solid fuel such coal or wood. The use of these solid fuels increases the fraction of the finer categories because of the higher presence of ash. Heating values of the residual household waste from the three categories varied very significantly, ranging from 6.8 MJ/kg to 14.2 MJ/kg in 1999 and from 6.8 MJ/kg to 10.5 MJ/kg in 2009 depending on the type of household and season. The same factors affect moisture of residual household waste which varied from 23.2% to 33.3%. The chemical parameters also varied significantly, especially in the quantities of Tl, As, Cr, Zn, Fe and Mn, which were higher in rural households. Because knowledge about the properties of household waste, as well as its physicochemical characteristics, is very important not only for future waste management, but also for the prediction of the behaviour and influence of the waste on the environment as the country continues to streamline its legislation to the European Union’s solid waste mandates, the results of these studies were employed by the Czech Ministry of Environment to optimise the national waste management strategy.

  7. Experience converting a large Fortran-77 program to C++ Ralf W. Grosse-Kunstleve, Thomas C. Terwilliger, Paul D. Adams

    E-Print Network [OSTI]

    Grosse-Kunstleve, Ralf

    Experience converting a large Fortran-77 program to C++ Ralf W. Grosse-Kunstleve, Thomas C. Terwilliger, Paul D. Adams Lawrence Berkeley National Laboratory, One Cyclotron Road, BLDG 64R0121, Berkeley-fitting, and prime-and-switch minimum bias phasing (Terwilliger 2000, Terwilliger 2003). In recent years it has been

  8. Remote estimation of gross primary production in maize and support for a new paradigm based on total crop chlorophyll content

    E-Print Network [OSTI]

    Rundquist, Donald C.

    distributed carbon dioxide (CO2) fluxes is essential for regional and global studies of carbon budgetsRemote estimation of gross primary production in maize and support for a new paradigm based and global studies of carbon budgets. Because of the observed close relationship between GPP and total canopy

  9. Crystalline Boson Phases in Harmonic Traps: Beyond the Gross-Pitaevskii Mean Field Igor Romanovsky, Constantine Yannouleas, and Uzi Landman

    E-Print Network [OSTI]

    Yannouleas, Constantine

    Crystalline Boson Phases in Harmonic Traps: Beyond the Gross-Pitaevskii Mean Field Igor Romanovsky-Pitaevskii (GP) solution. The bosons localize and form polygonal-ringlike crystalline patterns, both-probability-distribution analysis. For neutral bosons, the total energy of the crystalline phase saturates in contrast to the GP

  10. Rogers, T. C. and Gross, T. (2013) Consensus time and conformity in the adaptive voter model. Physical Review E, 88

    E-Print Network [OSTI]

    Scheichl, Robert

    2013-01-01

    shed light on the rich phenomenology of both the original and extended adaptive voter models, includingRogers, T. C. and Gross, T. (2013) Consensus time and conformity in the adaptive voter model in the adaptive voter model Tim Rogers Centre for Networks and Collective Behaviour, Department of Mathematical

  11. Gross fibrations, SYZ mirror symmetry, and open Gromov-Witten invariants for toric Calabi-Yau orbifolds

    E-Print Network [OSTI]

    Kwokwai Chan; Cheol-Hyun Cho; Siu-Cheong Lau; Hsian-Hua Tseng

    2015-04-01

    For a toric Calabi-Yau (CY) orbifold $\\mathcal{X}$ whose underlying toric variety is semi-projective, we construct and study a non-toric Lagrangian torus fibration on $\\mathcal{X}$, which we call the Gross fibration. We apply the Strominger-Yau-Zaslow (SYZ) recipe to the Gross fibration of $\\mathcal{X}$ to construct its mirror with the instanton corrections coming from genus 0 open orbifold Gromov-Witten (GW) invariants, which are virtual counts of holomorphic orbi-disks in $\\mathcal{X}$ bounded by fibers of the Gross fibration. We explicitly evaluate all these invariants by first proving an open/closed equality and then employing the toric mirror theorem for suitable toric (partial) compactifications of $\\mathcal{X}$. Our calculations are then applied to (1) prove a conjecture of Gross-Siebert on a relation between genus 0 open orbifold GW invariants and mirror maps of $\\mathcal{X}$ -- this is called the open mirror theorem, which leads to an enumerative meaning of mirror maps, and (2) demonstrate how open (orbifold) GW invariants for toric CY orbifolds change under toric crepant resolutions -- an open analogue of Ruan's crepant resolution conjecture.

  12. Household magnets

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (JournalvivoHigh energyHighlandWorkshop-Summer 2014to PLAs HourlyA2.

  13. Factors associated with mosquito net use by individuals in households owning nets in Ethiopia

    E-Print Network [OSTI]

    Graves, Patricia M.; Ngondi, Jeremiah M.; Hwang, Jimee; Getachew, Asefaw; Gebre, Teshome; Mosher, Aryc W.; Patterson, Amy E.; Shargie, Estifanos B.; Tadesse, Zerihun; Wolkon, Adam; Reithinger, Richard; Emerson, Paul M.; Richards, Frank O. Jr

    2011-12-13

    age and gender [5,7-10], education, occupation/livelihood [11-13], degree of con- trol over household decision-making [14], malaria knowledge, beliefs and risk perceptions [5,15-21], per- ceived benefits and disadvantages of nets [5,17,18,21], trust... or while tending livestock, attending late- night social events, disruption of usual sleeping arrange- ments, net unavailability due to washing or dirtiness, extreme fatigue, labour pains, illness or forgetfulness [13,27,30-32]. This study builds on a...

  14. Assessment of lead contamination in Bahrain environment. I. Analysis of household paint

    SciTech Connect (OSTI)

    Madany, I.M.; Ali, S.M.; Akhter, M.S.

    1987-01-01

    The analysis of lead in household paint collected from various old buildings in Bahrain is reported. The atomic absorption spectrophotometric method, both flame and flameless (graphite furnace) techniques, were used for the analysis. The concentrations of lead in paint were found in the range 200 to 5700 mg/kg, which are low compared to the limit of 0.5% in UK and 0.06% in USA. Nevertheless, these are hazardous. Recommendations are reported in order to avoid paint containing lead. 17 references, 1 table.

  15. Estimation of the urban household demand for water in the United States 

    E-Print Network [OSTI]

    Foster, Henry Sessam

    1977-01-01

    Htctec FIi3iiary Academy Chai:man of Advisory Commi. t Lee: Br. iiruce R. B' aItie This research was rnndertai~en to specify;. nd estimat? model rc- 1- ting household demand lor urban water i. o its principal dcLcrImLnun Ls. Feud specif ic objectives... were ustabldshed to guide the analysis: To postulaLo; n srpropriaLc:-c nomic demand mcdcl for house- ho]ds uh To estimate. pam motors of *hc model based. on pcoi cd data re?resent' ng uli. of the U. H, '3. To csc-blish cL ULor:a for a. breawdcwn...

  16. Investigating the book-tax income gap : factors which affect the gap and details regarding its most significant component

    E-Print Network [OSTI]

    Seidman, Jeri

    2008-01-01

    (cont.) In total, my thesis suggests that recent changes in the book-tax income gap may be exogenous and transitory, due to changes to the calculation of book income, general business conditions or other factors which ...

  17. Commercializing Light-Duty Plug-In/Plug-Out Hydrogen-Fuel-Cell Vehicles: "Mobile Electricity" Technologies, Early California Household Markets, and Innovation Management

    E-Print Network [OSTI]

    Williams, Brett D

    2010-01-01

    assessment for fuel cell electric vehicles." Argonne, Ill. :of Plug-In Hybrid Electric Vehicles on Wind Energy Markets,"Recharging and Household Electric Vehicle Market: A Near-

  18. Context Interchange Mediation for Semantic Interoperability and Dynamic Integration of Autonomous Information Sources in the Fixed Income Securities Industry

    E-Print Network [OSTI]

    Siegel, Michael

    2003-02-10

    We examine semantic interoperability problems in the fixed income securities industry and propose a knowledge representation architecture for context interchange ...

  19. Concentrated solar thermal (cst) system for fuelwood replacement and for household water sanitation in developing countries.

    SciTech Connect (OSTI)

    Akinjiola, O. P.; Balachandran, U. (Energy Systems); (Rsage Research, LLC)

    2012-01-01

    Concentrated Solar Thermal (CST) is a proven renewable energy technology that harnesses solar irradiation in its most primitive form. This technology with roots in ancient history is growing at a fast pace in recent times. Developing countries could use CST to solve fundamental human-needs challenges, such as for the substitution of fuelwood and the treatment of water for household use. This paper proposes a conceptual design for a standardized modular CST for these applications in developing countries. A modular-designed parabolic CST with an aperture area of 7.5 m2 is adequate to provide enough solar thermal energy to replace the fuelwood need (5 tons/yr) or to pasteurize the minimum daily water requirement (2500 liters) for a household. Critical parameters of the CST are discussed and an affordable solid thermal storage is recommended to be used as a backup when sunlight is unavailable. A funding program that includes in-country resources and external funding will be needed to sustain the development and wide spread adaptation of this technology.

  20. A Method for Modeling Household Occupant Behavior to Simulate Residential Energy Consumption

    SciTech Connect (OSTI)

    Johnson, Brandon J [ORNL] [ORNL; Starke, Michael R [ORNL] [ORNL; Abdelaziz, Omar [ORNL] [ORNL; Jackson, Roderick K [ORNL] [ORNL; Tolbert, Leon M [University of Tennessee, Knoxville (UTK)] [University of Tennessee, Knoxville (UTK)

    2014-01-01

    This paper presents a statistical method for modeling the behavior of household occupants to estimate residential energy consumption. Using data gathered by the U.S. Census Bureau in the American Time Use Survey (ATUS), actions carried out by survey respondents are categorized into ten distinct activities. These activities are defined to correspond to the major energy consuming loads commonly found within the residential sector. Next, time varying minute resolution Markov chain based statistical models of different occupant types are developed. Using these behavioral models, individual occupants are simulated to show how an occupant interacts with the major residential energy consuming loads throughout the day. From these simulations, the minimum number of occupants, and consequently the minimum number of multiple occupant households, needing to be simulated to produce a statistically accurate representation of aggregate residential behavior can be determined. Finally, future work will involve the use of these occupant models along side residential load models to produce a high-resolution energy consumption profile and estimate the potential for demand response from residential loads.

  1. Survey of Recipients of WAP Services Assessment of Household Budget and Energy Behaviors Pre to Post Weatherization DOE

    SciTech Connect (OSTI)

    Tonn, Bruce Edward; Rose, Erin M.; Hawkins, Beth A.

    2015-10-01

    This report presents results from the national survey of weatherization recipients. This research was one component of the retrospective and Recovery Act evaluations of the U.S. Department of Energy s Weatherization Assistance Program. Survey respondents were randomly selected from a nationally representative sample of weatherization recipients. The respondents and a comparison group were surveyed just prior to receiving their energy audits and then again approximately 18 months post-weatherization. This report focuses on budget issues faced by WAP households pre- and post-weatherization, whether household energy behaviors changed from pre- to post, the effectiveness of approaches to client energy education, and use and knowledge about thermostats.

  2. It's Not All About "Green": Energy Use in Low-Income Communities

    E-Print Network [OSTI]

    Paulos, Eric

    energy consumption, specifically home energy consumption such as heating, cooling, and electricity, has consumption, home energy consumption (heating, cooling, electricity use) is one of the largest, especially heating, cooling, and electricity than affluent households [7]. In fact, the median energy consumption

  3. Weak decay processes in pre-supernova core evolution within the gross theory

    SciTech Connect (OSTI)

    Ferreira, R. C.; Dimarco, A. J.; Samana, A. R.; Barbero, C. A.

    2014-03-20

    The beta decay and electron capture rates are of fundamental importance in the evolution of massive stars in a pre-supernova core. The beta decay process gives its contribution by emitting electrons in the plasma of the stellar core, thereby increasing pressure, which in turn increases the temperature. From the other side, the electron capture removes free electrons from the plasma of the star core contributing to the reduction of pressure and temperature. In this work we calculate the beta decay and electron capture rates in stellar conditions for 63 nuclei of relevance in the pre-supernova stage, employing Gross Theory as the nuclear model. We use the abundances calculated with the Saha equations in the hypothesis of nuclear statistical equilibrium to evaluate the time derivative of the fraction of electrons. Our results are compared with other evaluations available in the literature. They have shown to be one order less or equal than the calculated within other models. Our results indicate that these differences may influence the evolution of the star in the later stages of pre-supernova.

  4. Thermal Activation Rates in the Chirally Asymmetric Gross-Neveu Model

    E-Print Network [OSTI]

    D. Boyanovsky; David E. Brahm; R. Holman; Da-Shin Lee

    1995-11-14

    We address the problem of how to incorporate quantum effects into the calculation of finite-temperature decay rates for a metastable state of a quantum field theory. To do this, we consider the Gross-Neveu model with an explicit chiral symmetry breaking term, which allows for a metastable state. This theory can be shown to have a "critical bubble" which is a solution to the *exact* equations of motions (i.e. to all orders in perturbation theory, including all higher derivative, quantum and thermal corrections). This configuration mediates the thermal activation of the metastable vacuum to the true ground state, with a decay rate $\\Gamma \\propto \\exp(-F_c/T)$, where $F_c$ is the free energy of the critical bubble. We then compare this exact calculation to various approximations that have been used in previous work. We find that these approximations all *overestimate* the activation rate. Furthermore, we study the effect of finite baryon number upon the bubble profile and the activation barriers. We find that beyond a critical baryon number the activation barriers disappear altogether.

  5. Failure of the gross theory of beta decay in neutron deficient nuclei

    SciTech Connect (OSTI)

    Firestone, R. B.; Schwengner, R.; Zuber, K.

    2015-05-28

    The neutron deficient isotopes 117-121Xe, 117-124Cs, and 122-124Ba were produced by a beam of 28Si from the LBNL SuperHILAC on a target of natMo. The isotopes were mass separated and their beta decay schemes were measured with a Total Absorption Spectrometer (TAS). The beta strengths derived from these data decreased dramatically to levels above ?1 MeV for the even-even decays; 3–4 MeV for even-Z, odd-N decays; 4–5 MeV for the odd-Z, even-N decays; and 7–8 MeV for the odd-Z, odd-N decays. The decreasing strength to higher excitation energies in the daughters contradicts the predictions of the Gross Theory of Beta Decay. The integrated beta strengths are instead found to be consistent with shell model predictions where the single-particle beta strengths are divided amoung many low-lying levels. The experimental beta strengths determined here have been used calculate the half-lives of 143 neutron deficient nuclei with Z=51–64 to a precision of 20% with respect to the measured values.

  6. Derivation of the Gross-Pitaevskii Equation for the Dynamics of Bose-Einstein Condensate

    E-Print Network [OSTI]

    Laszlo Erdos; Benjamin Schlein; Horng-Tzer Yau

    2006-12-10

    Consider a system of $N$ bosons in three dimensions interacting via a repulsive short range pair potential $N^2V(N(x_i-x_j))$, where $\\bx=(x_1, >..., x_N)$ denotes the positions of the particles. Let $H_N$ denote the Hamiltonian of the system and let $\\psi_{N,t}$ be the solution to the Schr\\"odinger equation. Suppose that the initial data $\\psi_{N,0}$ satisfies the energy condition \\[ \\leq C^k N^k \\] for $k=1,2,... $. We also assume that the $k$-particle density matrices of the initial state are asymptotically factorized as $N\\to\\infty$. We prove that the $k$-particle density matrices of $\\psi_{N,t}$ are also asymptotically factorized and the one particle orbital wave function solves the Gross-Pitaevskii equation, a cubic non-linear Schr\\"odinger equation with the coupling constant given by the scattering length of the potential $V$. We also prove the same conclusion if the energy condition holds only for $k=1$ but the factorization of $\\psi_{N,0}$ is assumed in a stronger sense.

  7. Failure of the gross theory of beta decay in neutron deficient nuclei

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Firestone, R. B.; Schwengner, R.; Zuber, K.

    2015-05-28

    The neutron deficient isotopes 117-121Xe, 117-124Cs, and 122-124Ba were produced by a beam of 28Si from the LBNL SuperHILAC on a target of natMo. The isotopes were mass separated and their beta decay schemes were measured with a Total Absorption Spectrometer (TAS). The beta strengths derived from these data decreased dramatically to levels above ?1 MeV for the even-even decays; 3–4 MeV for even-Z, odd-N decays; 4–5 MeV for the odd-Z, even-N decays; and 7–8 MeV for the odd-Z, odd-N decays. The decreasing strength to higher excitation energies in the daughters contradicts the predictions of the Gross Theory of Betamore »Decay. The integrated beta strengths are instead found to be consistent with shell model predictions where the single-particle beta strengths are divided amoung many low-lying levels. The experimental beta strengths determined here have been used calculate the half-lives of 143 neutron deficient nuclei with Z=51–64 to a precision of 20% with respect to the measured values.« less

  8. Urban settlement design, Seoul, Korea : a comparative study for low-income housing

    E-Print Network [OSTI]

    Je, Hae-Seong

    1982-01-01

    The study proposes an alternative design approach for urban dwelling environments of the low-income sectors in Seoul, Korea, based upon a comparative evaluation of the physical and socio-economic performance of the existing ...

  9. Displacement, politics and governance : access to low-income housing in a Beirut suburb

    E-Print Network [OSTI]

    Bou Akar, Hiba

    2005-01-01

    Lebanon witnessed large-scale phases of internal displacement during and after its civil war (1975-1990). This study analyzes access to low-income housing for a Lebanese Shiites group which has already experienced two ...

  10. The Low-Income Housing Tax Credit : HERA, ARRA and beyond

    E-Print Network [OSTI]

    Korb, Jason (Jason Bryan Patricof)

    2009-01-01

    The Low-Income Housing Tax Credit (LIHTC) has arguably been the most successful government subsidy to finance affordable housing. Since its creation in the Tax Reform Act of 1986 as Internal Revenue Code (IRC) Section 42, ...

  11. An alternative approach for low income housing in Algeria : housing cooperative

    E-Print Network [OSTI]

    Khellaf, Assia

    1983-01-01

    The population which suffers most directly from deficit in housing, in developing countries are the low income populations. Why has the problem been allowed to develop, and why have solutions been not forthcoming? There ...

  12. Investigation of an empirical methodology for linking value of time with census tract median income 

    E-Print Network [OSTI]

    Stockton, William Radney

    2009-05-15

    This research examines a new methodology for prospectively estimating the willingness of travelers to use a toll road by combining travel time saved with the income of the prospective customer base. The purpose of the ...

  13. Projecting net incomes for Texas crop producers: an application of probabilistic forecasting 

    E-Print Network [OSTI]

    Eggerman, Christopher Ryan

    2006-10-30

    Agricultural policy changes directly affect the economic viability of Texas crop producers because government payments make up a significant portion of their net farm income (NFI). NFI projections benefit producers, ...

  14. Identifying Predictors of Instrumental and Reactive Aggression Among Low-Income Minority Adolescent Girls

    E-Print Network [OSTI]

    Williford, Anne; DePaolis, Kathryn J.

    2012-01-01

    Research on both the forms and functions of aggression has yet to include the experiences of low-income minority adolescent girls, particularly Latinas. The present study addresses this limitation by applying ecological systems theory to identify...

  15. A decision support system for income-producing real estate development feasibility analysis and alternative assessment 

    E-Print Network [OSTI]

    Leelarasamee, Yosaporn

    2005-08-29

    The purpose of this study is to design, develop, and evaluate a prototype scenarioassisted decision support system (DSS) for use in venture and alternative assessment during the predevelopment stage of income-producing real estate development...

  16. Retirement Income Plan (Basic Plan) Salary Reduction Agreement Catch-up Contribution

    E-Print Network [OSTI]

    Emmons, Scott

    Retirement Income Plan (Basic Plan) Salary Reduction Agreement Catch-up Contribution IRS-up contribution limit. Option 1: Maximize My Catch-up Contributions on either a pre-tax or after-tax Roth Basis I

  17. The Role of Acculturation in Nutrition Behaviors among Low Income Hispanic Women Living in Texas 

    E-Print Network [OSTI]

    Atehortua, Nelson

    2012-10-19

    The purpose of this study was to determine the role of acculturation in the food consumption patterns of low income Hispanic women living in Texas and enrolled in the Women, Infants, and Children (WIC) Program by testing ...

  18. Low-income communities in World Heritage Cities : revitalizing neighborhoods in Tunis and Quito

    E-Print Network [OSTI]

    Young, T. Luke, 1972-

    2000-01-01

    Since the 1970s, international preservation and funding agencies have promoted revitalization projects in developing countries aiming to, among other things, benefit low-income communities. For the most part, these projects ...

  19. Incoming Students Compiled 21.1.2015 12:12:46 by Document Globe 1

    E-Print Network [OSTI]

    Cerveny, Vlastislav

    Incoming Students Compiled 21.1.2015 12:12:46 by Document Globe ® 1 A period of study at Charles (the cotutelle system), and Erasmus Mundus II international programmes. #12;Compiled 21.1.2015 12

  20. Unaffordable fare : the cost of public transportation for low-income commuters working at three airports

    E-Print Network [OSTI]

    Nadeau, Carey Anne

    2015-01-01

    For airport employers, making sure the many low-income people they employ as baggage handlers and retail salespeople, amongst others, can get to work ensures the continued efficient operations of the airport and the ...